Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280674
Keenan Mandela Gebze
Geographic information and data are becoming more important in today modern society. One popular and widely used method to obtain geographic data is by crowdsourcing. The positional accuracy of geographic data obtained in this way; specifically, one obtained without the help of positioning devices are evaluated in this paper. The crowdsourced data used in this paper were obtained from a web mapping application built with open source tools. This allows many parameters to be collected during the crowdsourcing process that helps finding factors related to positional accuracy. It is found that each crowdsourced place has a different tendency to be located accurately on a map. Factors like residence time, screen sizes, and feature distance to street junctions were found to be related with positional accuracy. These findings could be used to make better decision in the crowdsourcing process.
{"title":"The positional accuracy of crowdsourced geographic data from open source web GIS","authors":"Keenan Mandela Gebze","doi":"10.1109/ISYG.2017.8280674","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280674","url":null,"abstract":"Geographic information and data are becoming more important in today modern society. One popular and widely used method to obtain geographic data is by crowdsourcing. The positional accuracy of geographic data obtained in this way; specifically, one obtained without the help of positioning devices are evaluated in this paper. The crowdsourced data used in this paper were obtained from a web mapping application built with open source tools. This allows many parameters to be collected during the crowdsourcing process that helps finding factors related to positional accuracy. It is found that each crowdsourced place has a different tendency to be located accurately on a map. Factors like residence time, screen sizes, and feature distance to street junctions were found to be related with positional accuracy. These findings could be used to make better decision in the crowdsourcing process.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130627352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280673
Adzanil Rachmadhi Putra, F. Ramdani, R. I. Rokhmawati
As one of the big fast food companies, McDonald's outlet of Watu Gong, Malang branch needs a web-based geographical information which can displayed amount of complaint pursuant to complaint category, and the system can also displayed a chart for knowing most time that used by a customer do complaint, of course pursuant to complaint category. The build of a Web-GIS Based Complaint Management of Information System has a purpose so that McDonald's outlet of Watu Gong, Malang branch can knowing the amount of complaint and the time of complaint earlier. In the end, the McDonald's outlet of Watu Gong, Malang branch can evaluate along with improved service quality in order to more adaptable and faster based on information acquired from Web-GIS Based Complaint Management of Information System. With the existence of Web-GIS Based Complaint Management of Information System, the expectation of complaint occurrence can be reduced until no complaint or zero complaint. With a Web-GIS Based Complaint Management of Information System, then McDonald's outlet of Watu Gong, Malang branch has applied the concept of Analytical Customer Relationship Management (CRM), which means acquiring, extracting, processing, and reporting data regarding the customer that later be a reference in taking of decision.
{"title":"Development of WEB-GIS based customer complaint management information system (Case study: McDonald's outlet of Watu Gong branch, Malang)","authors":"Adzanil Rachmadhi Putra, F. Ramdani, R. I. Rokhmawati","doi":"10.1109/ISYG.2017.8280673","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280673","url":null,"abstract":"As one of the big fast food companies, McDonald's outlet of Watu Gong, Malang branch needs a web-based geographical information which can displayed amount of complaint pursuant to complaint category, and the system can also displayed a chart for knowing most time that used by a customer do complaint, of course pursuant to complaint category. The build of a Web-GIS Based Complaint Management of Information System has a purpose so that McDonald's outlet of Watu Gong, Malang branch can knowing the amount of complaint and the time of complaint earlier. In the end, the McDonald's outlet of Watu Gong, Malang branch can evaluate along with improved service quality in order to more adaptable and faster based on information acquired from Web-GIS Based Complaint Management of Information System. With the existence of Web-GIS Based Complaint Management of Information System, the expectation of complaint occurrence can be reduced until no complaint or zero complaint. With a Web-GIS Based Complaint Management of Information System, then McDonald's outlet of Watu Gong, Malang branch has applied the concept of Analytical Customer Relationship Management (CRM), which means acquiring, extracting, processing, and reporting data regarding the customer that later be a reference in taking of decision.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280678
L. A. Devianto, Rusmawan Suwarman, A. Rohman, R. Iqbal
Currently, the biggest challenges of the Indonesian Government in water sector is the availability and quality of clean water. The causes of water vulnerability are land use change, rapid population growth, climate change, as well as residential and agricultural activities. In this study, GIS was utilized as tool for determining for retention basin and infiltration well zone as groundwater and surface water conservation. Several criteria were adapted from references such as SNI 03-2453-2002 and Maryland Storm water Design Manual. Several Thematic maps were developed which are slope between 8–30%; clay soil type; open space landuse as paddy field, moor, garden, etc. for developing retention basin zone. While infiltration well zone were needed thematic maps with water table elevation more than 3 m with rock permeability > 2 cm/hr that located outside of hazard zone as well as free of potential pollution as the criteria. Retention basin and infiltration well for aquifer recharge were studied in Bantaeng Regency using GIS tool. Several criteria were set up which allowed building six thematic map and resulting recommendation of retention basin zone as well as infiltration well zone. The results of retention basin zone potentially can be built in Uluere (12.99 km2), Eremerasa (14.19 km2), Sinoa (14.33 km2), and Tompobulu (18.22 km2) districts. While the infiltration well zone are within Eremerasa (20.22 km2) Tompobulu (40.68 km2) and Uluere (45.65 km2) districts.
{"title":"Determination of retention basin and infiltration well zone for groundwater recharge using GIS-based approach: Case study: Bantaeng regency, South Sulawesi, Indonesia","authors":"L. A. Devianto, Rusmawan Suwarman, A. Rohman, R. Iqbal","doi":"10.1109/ISYG.2017.8280678","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280678","url":null,"abstract":"Currently, the biggest challenges of the Indonesian Government in water sector is the availability and quality of clean water. The causes of water vulnerability are land use change, rapid population growth, climate change, as well as residential and agricultural activities. In this study, GIS was utilized as tool for determining for retention basin and infiltration well zone as groundwater and surface water conservation. Several criteria were adapted from references such as SNI 03-2453-2002 and Maryland Storm water Design Manual. Several Thematic maps were developed which are slope between 8–30%; clay soil type; open space landuse as paddy field, moor, garden, etc. for developing retention basin zone. While infiltration well zone were needed thematic maps with water table elevation more than 3 m with rock permeability > 2 cm/hr that located outside of hazard zone as well as free of potential pollution as the criteria. Retention basin and infiltration well for aquifer recharge were studied in Bantaeng Regency using GIS tool. Several criteria were set up which allowed building six thematic map and resulting recommendation of retention basin zone as well as infiltration well zone. The results of retention basin zone potentially can be built in Uluere (12.99 km2), Eremerasa (14.19 km2), Sinoa (14.33 km2), and Tompobulu (18.22 km2) districts. While the infiltration well zone are within Eremerasa (20.22 km2) Tompobulu (40.68 km2) and Uluere (45.65 km2) districts.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280664
Hertanto Suryoprayogo, F. Ramdani, Fitri Utaminingrum
Principal Polar Spectral (PPS) is a high-order index set that developed on Landsat 7 ETM+ which has advantages in observing the soil and vegetation cover. The purpose of this study is to determine the most appropriate Hyperspectral EO-1 Hyperion wavebands for modeling PPS Indices, which provide higher spectral complexity compared to Landsat 7 ETM+. Despite of larger data dimensions compared with EO-1 Hyperion single and region correlation as well as Landsat 7 ETM+, the result showed that 163 EO-1 Hyperion bands using Spectral Focus located at (1.5, 1.5) provide the most idealized measurement results with relatively lower brightness and broader greenness variety in the images, with R2 value of 0.988 and RMSE value of 2.256.
{"title":"Implementation of Landsat 7 ETM+ principal polar spectral indices based on EO-1 Hyperion wavebands selection","authors":"Hertanto Suryoprayogo, F. Ramdani, Fitri Utaminingrum","doi":"10.1109/ISYG.2017.8280664","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280664","url":null,"abstract":"Principal Polar Spectral (PPS) is a high-order index set that developed on Landsat 7 ETM+ which has advantages in observing the soil and vegetation cover. The purpose of this study is to determine the most appropriate Hyperspectral EO-1 Hyperion wavebands for modeling PPS Indices, which provide higher spectral complexity compared to Landsat 7 ETM+. Despite of larger data dimensions compared with EO-1 Hyperion single and region correlation as well as Landsat 7 ETM+, the result showed that 163 EO-1 Hyperion bands using Spectral Focus located at (1.5, 1.5) provide the most idealized measurement results with relatively lower brightness and broader greenness variety in the images, with R2 value of 0.988 and RMSE value of 2.256.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121972638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280671
Cendi Tito Rahman, Adhi Isti Febriandhika, F. Ramdani, Mochamad Chandra Saputra
Indonesia is a country that has the largest karst area in Southeast Asia. With the existence of this large karst area provides advantages due to the composition of rocks from this karst area can be mined for a source of raw materials of cement. And Indonesia is the second largest miner of karst area after Vietnam. Karst area is very important area as a source of water storage, karst area can be found and identified in Indonesia using geological map from Badan Geologi dan Pusat Survey Geologi. Southern Malang is one of the karst areas in Indonesia located in East Java and is a potential area for mining activity for cement industries. This cement mining activity can change the landscape of karst area that can cause many potential disasters such as flooding, erosion, and water and air pollution. In Indonesia the technology that can be used to analyze the impact of mining from karst areas is very limited, the impact that we want to know is the surface hydrological change of the karst area landscape change. This research uses tangible landscape method in GIS to visualize the simulation of surface hydrological changes that can occur in karst area in South Malang, Indonesia.
{"title":"Tangible landscape: Simulation of changing of hydrology condition due to mining activity at karst area","authors":"Cendi Tito Rahman, Adhi Isti Febriandhika, F. Ramdani, Mochamad Chandra Saputra","doi":"10.1109/ISYG.2017.8280671","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280671","url":null,"abstract":"Indonesia is a country that has the largest karst area in Southeast Asia. With the existence of this large karst area provides advantages due to the composition of rocks from this karst area can be mined for a source of raw materials of cement. And Indonesia is the second largest miner of karst area after Vietnam. Karst area is very important area as a source of water storage, karst area can be found and identified in Indonesia using geological map from Badan Geologi dan Pusat Survey Geologi. Southern Malang is one of the karst areas in Indonesia located in East Java and is a potential area for mining activity for cement industries. This cement mining activity can change the landscape of karst area that can cause many potential disasters such as flooding, erosion, and water and air pollution. In Indonesia the technology that can be used to analyze the impact of mining from karst areas is very limited, the impact that we want to know is the surface hydrological change of the karst area landscape change. This research uses tangible landscape method in GIS to visualize the simulation of surface hydrological changes that can occur in karst area in South Malang, Indonesia.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280675
N. Rahman, Mochamad Chandra Saputra, Fajar Krisna Wicaksono, F. A. Bachtiar, F. Ramdani
Malang is an area that has the difference between the roads in the city and district. In the city areas the roads are built has the high density. In the district area the roads are built tend to be long and winding. This research will do the mapping of the condition of the path that lies in Malang. It will be looking for the implementation of the management of the best path that can be applied to perform a division area using Voronoi diagram to search the fastest route. The results obtained of this research are being able to do the test of Voronoi diagram to determine the split nodes is generated at mapping the road networks in Malang.
{"title":"Voronoi diagram: Split nodes analysis of road networks of Malang great area","authors":"N. Rahman, Mochamad Chandra Saputra, Fajar Krisna Wicaksono, F. A. Bachtiar, F. Ramdani","doi":"10.1109/ISYG.2017.8280675","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280675","url":null,"abstract":"Malang is an area that has the difference between the roads in the city and district. In the city areas the roads are built has the high density. In the district area the roads are built tend to be long and winding. This research will do the mapping of the condition of the path that lies in Malang. It will be looking for the implementation of the management of the best path that can be applied to perform a division area using Voronoi diagram to search the fastest route. The results obtained of this research are being able to do the test of Voronoi diagram to determine the split nodes is generated at mapping the road networks in Malang.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280665
Rimba Anditya Kurniawan, F. Ramdani, M. Furqon
Indonesia is a country that have a massive natural resources for producing coal. In 2012, Indonesia archive third place world level as the most producer coal with total 466.307.241 ton. Management process very needed for manage coal mining sites. The mine management process can be done with 3- dimensional point clouds reconstruction using the Structure-of- Motion Method (SfM). SfM is an algorithm used to build structure from overlapping of many images by using photogrammetry techniques. When acquisition image data, sometimes get a failure of automatic camera trigger and lack of density between images. This study uses video data from UAVs flown over mining areas to record all mining activities. Video data predicted can reduce errors during image capture and increase the overlap value between successive images and increase the number of point cloud. The output on the software is tested using the Simple Regression method. This study shows that input video data with 1 minute duration and 90% overlap value can produce 2910 point cloud. The Simple Regression test result an F value of 12,408. It shows that the greater value of overlap, can produce a lot number of points cloud.
{"title":"Videogrammetry: A new approach of 3-dimensional reconstruction from video using SfM algorithm: Case studi: Coal mining area","authors":"Rimba Anditya Kurniawan, F. Ramdani, M. Furqon","doi":"10.1109/ISYG.2017.8280665","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280665","url":null,"abstract":"Indonesia is a country that have a massive natural resources for producing coal. In 2012, Indonesia archive third place world level as the most producer coal with total 466.307.241 ton. Management process very needed for manage coal mining sites. The mine management process can be done with 3- dimensional point clouds reconstruction using the Structure-of- Motion Method (SfM). SfM is an algorithm used to build structure from overlapping of many images by using photogrammetry techniques. When acquisition image data, sometimes get a failure of automatic camera trigger and lack of density between images. This study uses video data from UAVs flown over mining areas to record all mining activities. Video data predicted can reduce errors during image capture and increase the overlap value between successive images and increase the number of point cloud. The output on the software is tested using the Simple Regression method. This study shows that input video data with 1 minute duration and 90% overlap value can produce 2910 point cloud. The Simple Regression test result an F value of 12,408. It shows that the greater value of overlap, can produce a lot number of points cloud.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132941913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280668
M. Tjahjadi, F. Agustina
A Perspective based image restitution for registering and processing UAV's images is widely known in photogrammetry and computer vision communities. Despite its reliability to compute all necessary parameters to model 3D objects, however it is less suitable to process images which have a very narrow angular field of view. An interested feature on images captured from a very distant imaging object or by a long focal length camera occupies a small portion of the field of view. The perspective model produces unstable results or singular outcomes if the image's field of view is less than 10 degrees. The captured ground features are usually located on small clusters which have very narrow field of view. Therefore, stable registration results are barely achieved. On the other hand, the orthogonal projection model was claimed to give stable results in such situation, particularly for a remote sensing imagery and a non-topographic photogrammetry. This paper demonstrates a feasibility of the orthogonal model based space resection to perform a featured based UAV image registration using surveyed ground control points. Using a minimum of 4 points to reach the field of view of around 6 degrees on each cluster, a five-group of collected clusters is computed. Whilst the perspective model produces erratic results, the orthogonal model gives better solution of exterior orientation parameters in all parts of the image.
{"title":"Single image orientation of UAV's imagery using orthogonal projection model","authors":"M. Tjahjadi, F. Agustina","doi":"10.1109/ISYG.2017.8280668","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280668","url":null,"abstract":"A Perspective based image restitution for registering and processing UAV's images is widely known in photogrammetry and computer vision communities. Despite its reliability to compute all necessary parameters to model 3D objects, however it is less suitable to process images which have a very narrow angular field of view. An interested feature on images captured from a very distant imaging object or by a long focal length camera occupies a small portion of the field of view. The perspective model produces unstable results or singular outcomes if the image's field of view is less than 10 degrees. The captured ground features are usually located on small clusters which have very narrow field of view. Therefore, stable registration results are barely achieved. On the other hand, the orthogonal projection model was claimed to give stable results in such situation, particularly for a remote sensing imagery and a non-topographic photogrammetry. This paper demonstrates a feasibility of the orthogonal model based space resection to perform a featured based UAV image registration using surveyed ground control points. Using a minimum of 4 points to reach the field of view of around 6 degrees on each cluster, a five-group of collected clusters is computed. Whilst the perspective model produces erratic results, the orthogonal model gives better solution of exterior orientation parameters in all parts of the image.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114626614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280666
A. E. Permanasari, W. Najib, Reza Rully Kusuma
Nowadays the rising trend of information technology can be applied to various fields, including in the hospital. One of the operational activities undertaken is the paper based medical record including human or animal patient. A conventional medical record has some drawbacks. Therefore, a mobile device application is required to help record medical data in unlimited space and time. It can improve the capabilities of the system and can be accessed anywhere. This paper presents the prototype of Android based medical record system at the Animal Hospital ‘X’. The research produced an Android-based medical record application and REST API used for data exchange between MySQL database and, system architecture. Tests resulted that the functions in the application were working as expected while for System Usability Scaling (SUS) test got the value of 74.17. It indicated that the application was feasible to be implemented in Hospital ‘X’.
{"title":"Prototype development for an android-based medical record system","authors":"A. E. Permanasari, W. Najib, Reza Rully Kusuma","doi":"10.1109/ISYG.2017.8280666","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280666","url":null,"abstract":"Nowadays the rising trend of information technology can be applied to various fields, including in the hospital. One of the operational activities undertaken is the paper based medical record including human or animal patient. A conventional medical record has some drawbacks. Therefore, a mobile device application is required to help record medical data in unlimited space and time. It can improve the capabilities of the system and can be accessed anywhere. This paper presents the prototype of Android based medical record system at the Animal Hospital ‘X’. The research produced an Android-based medical record application and REST API used for data exchange between MySQL database and, system architecture. Tests resulted that the functions in the application were working as expected while for System Usability Scaling (SUS) test got the value of 74.17. It indicated that the application was feasible to be implemented in Hospital ‘X’.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115669476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280676
B. Setiawan, A. Rusydi, Koko Pradityo
Change that is happened to the lake can have implication to its surrounding. Monitoring the change can be done remotely by using remote sensing images. To do it automatically, we first need to detect the lake region in the images, then gain the edges between water and land area. This research aims to implement the Canny edge detection method, combining with Otsu thresholding to detect the edges. Otsu thresholding is used to gain threshold value for Canny Method. In result, some edges are well detected, but some others are missed. Some of the false detected edges are gained from thresholding process, where shadow or dark pixel area which have nearly same color as water, are also detected as water.
{"title":"Lake edge detection using Canny algorithm and Otsu thresholding","authors":"B. Setiawan, A. Rusydi, Koko Pradityo","doi":"10.1109/ISYG.2017.8280676","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280676","url":null,"abstract":"Change that is happened to the lake can have implication to its surrounding. Monitoring the change can be done remotely by using remote sensing images. To do it automatically, we first need to detect the lake region in the images, then gain the edges between water and land area. This research aims to implement the Canny edge detection method, combining with Otsu thresholding to detect the edges. Otsu thresholding is used to gain threshold value for Canny Method. In result, some edges are well detected, but some others are missed. Some of the false detected edges are gained from thresholding process, where shadow or dark pixel area which have nearly same color as water, are also detected as water.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122311159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：