Pub Date : 2009-06-11DOI: 10.1109/RAST.2009.5158298
F. Guim, I. Rodero, E. Ozalp, S. Madry
Forecasting and monitoring earth phenomenon is fundamental to reducing natural disasters hazards. However, how to react after a given disaster occurs is also a key issue that can improve response times and save lives. GISCorps is a program of the Urban and Regional Information Systems Association (URISA) that coordinates short-term, volunteer-based GIS services to underprivileged communities.
{"title":"A google earth based distributed infrastructure to support natural disaster response","authors":"F. Guim, I. Rodero, E. Ozalp, S. Madry","doi":"10.1109/RAST.2009.5158298","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158298","url":null,"abstract":"Forecasting and monitoring earth phenomenon is fundamental to reducing natural disasters hazards. However, how to react after a given disaster occurs is also a key issue that can improve response times and save lives. GISCorps is a program of the Urban and Regional Information Systems Association (URISA) that coordinates short-term, volunteer-based GIS services to underprivileged communities.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125566296","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158242
A. Lazarov, C. Minchev
In this work a generalized ISAR approach to solve the SAR problem for ship target image reconstruction and recognition is addressed. A new coordinate definition of the 3-D SAR scenario is suggested. An analytical geometrical approach to define apparent yaw, pitch and roll angle of the ship target at sea is implemented. Mathematical expressions to determine slant range distances to point scatterers are derived. The model of the SAR signal return is composed by a linear frequency modulated transmitted signal, geometry and reflectivity properties of point scatterers placed on the object. Image reconstruction procedure includes fast Fourier transform range compression and fast Fourier transform azimuth compression. To verify the new ISAR image reconstruction concept with respect to SAR problem a numerical experiment is carried out.
{"title":"SAR ship target imaging by induced complementary movement","authors":"A. Lazarov, C. Minchev","doi":"10.1109/RAST.2009.5158242","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158242","url":null,"abstract":"In this work a generalized ISAR approach to solve the SAR problem for ship target image reconstruction and recognition is addressed. A new coordinate definition of the 3-D SAR scenario is suggested. An analytical geometrical approach to define apparent yaw, pitch and roll angle of the ship target at sea is implemented. Mathematical expressions to determine slant range distances to point scatterers are derived. The model of the SAR signal return is composed by a linear frequency modulated transmitted signal, geometry and reflectivity properties of point scatterers placed on the object. Image reconstruction procedure includes fast Fourier transform range compression and fast Fourier transform azimuth compression. To verify the new ISAR image reconstruction concept with respect to SAR problem a numerical experiment is carried out.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779905","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158214
O. Aytekin, ilkay Ulusoy, A. Erener, H. Duzgun
This paper presents an approach for building extraction in remotely sensed images composed of low-resolution multi-spectral and high resolution panchromatic bands. The proposed approach exploits spectral properties in conjunction with spatial properties, both of which actually provide complementary information to each other. First, high resolution pan-sharpened color image is obtained via the process of merging high resolution panchromatic and low resolution multispectral imagery yielding a color image at the resolution of panchromatic band. Natural and man-made regions are classified by using Normalized Difference Vegetation Index (NDVI). Then shadow is detected by using chromaticity to intensity ratio in YIQ color space. After the classification of the vegetation and the shadow areas, the rest of the image consists of man-made areas only. Then, the manmade areas are partitioned by mean shift segmentation. However, some resulting segments are irrelevant to buildings in shape. These artifacts are eliminated in two steps: First, each segment is thinned using morphological operations and the length of it is compared to a threshold which is specified according to the empirical length of buildings. As a result, long segments which most probably represent roads are masked out. Second, the erroneous thin artifacts are removed via principle component analysis (PCA). In parallel to PCA, small artifacts are wiped out based on morphological processes also. The resultant manmade mask image is overlaid on the ground truth image, where the buildings are manually labeled, for the assessment of the methodology. The proposed methodology is applied to various Quickbird images. The experiments show that the methodology performs well to extract buildings in complex environments.
{"title":"Automatic and unsupervised building extraction in complex urban environments from multi spectral satellite imagery","authors":"O. Aytekin, ilkay Ulusoy, A. Erener, H. Duzgun","doi":"10.1109/RAST.2009.5158214","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158214","url":null,"abstract":"This paper presents an approach for building extraction in remotely sensed images composed of low-resolution multi-spectral and high resolution panchromatic bands. The proposed approach exploits spectral properties in conjunction with spatial properties, both of which actually provide complementary information to each other. First, high resolution pan-sharpened color image is obtained via the process of merging high resolution panchromatic and low resolution multispectral imagery yielding a color image at the resolution of panchromatic band. Natural and man-made regions are classified by using Normalized Difference Vegetation Index (NDVI). Then shadow is detected by using chromaticity to intensity ratio in YIQ color space. After the classification of the vegetation and the shadow areas, the rest of the image consists of man-made areas only. Then, the manmade areas are partitioned by mean shift segmentation. However, some resulting segments are irrelevant to buildings in shape. These artifacts are eliminated in two steps: First, each segment is thinned using morphological operations and the length of it is compared to a threshold which is specified according to the empirical length of buildings. As a result, long segments which most probably represent roads are masked out. Second, the erroneous thin artifacts are removed via principle component analysis (PCA). In parallel to PCA, small artifacts are wiped out based on morphological processes also. The resultant manmade mask image is overlaid on the ground truth image, where the buildings are manually labeled, for the assessment of the methodology. The proposed methodology is applied to various Quickbird images. The experiments show that the methodology performs well to extract buildings in complex environments.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"5 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130232951","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158270
E. Dur
Using optical flow calculations and a multilayer perceptron Artificial Neural Network (ANN), a methodology has been tried for mobile-robot obstacle detection and avoidance behavior. The study of the methodology has been supported by experimental results that were obtained from Matlab simulation environments. The images of the views were taken from a real navigation environment and then optical flow calculations for all images were obtained via Matlab simulink blocks created in advance, as an algorithm which can calculate optical flows from stereo visions. As optical flows of each pair of stereo views were derived, a database was constituted to train the multilayer perceptron. Using the data set and the Levenberg-Marquardt learning algorithm, a neural network was created that was well trained in Matlab environment in order to detect the presence of obstacles. Experimental results, obtained during the study have strengthened the ideas which have supported the usage of the optical flow via an ANN in mobile robotics for obstacle detection and avoidance behaviors.
{"title":"Optical Flow-based obstacle detection and avoidance behaviors for mobile robots used in unmaned planetary exploration","authors":"E. Dur","doi":"10.1109/RAST.2009.5158270","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158270","url":null,"abstract":"Using optical flow calculations and a multilayer perceptron Artificial Neural Network (ANN), a methodology has been tried for mobile-robot obstacle detection and avoidance behavior. The study of the methodology has been supported by experimental results that were obtained from Matlab simulation environments. The images of the views were taken from a real navigation environment and then optical flow calculations for all images were obtained via Matlab simulink blocks created in advance, as an algorithm which can calculate optical flows from stereo visions. As optical flows of each pair of stereo views were derived, a database was constituted to train the multilayer perceptron. Using the data set and the Levenberg-Marquardt learning algorithm, a neural network was created that was well trained in Matlab environment in order to detect the presence of obstacles. Experimental results, obtained during the study have strengthened the ideas which have supported the usage of the optical flow via an ANN in mobile robotics for obstacle detection and avoidance behaviors.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133373202","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158223
V. Naydenova, G. Jelev
The paper presents an integrated database created using as input information ground-based and remote sensing data which was used to study forest changes and identify forestation stages. Using remote sensing methods and GIS technologies make it possible to accomplish an objective monitoring of forest areas using various aerospace data for different temporal stages.
{"title":"Forest dynamics study using aerial photos and satellite images with very high spatial resolution","authors":"V. Naydenova, G. Jelev","doi":"10.1109/RAST.2009.5158223","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158223","url":null,"abstract":"The paper presents an integrated database created using as input information ground-based and remote sensing data which was used to study forest changes and identify forestation stages. Using remote sensing methods and GIS technologies make it possible to accomplish an objective monitoring of forest areas using various aerospace data for different temporal stages.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133378531","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158257
N. Katayama, H. Hashimoto, P. Njemanze, K. Tomita-Yokotani, M. Yamashita
Space agriculture is an advanced concept to support life on extraterrestrial outpost. It drives materials recycle loop by biological and ecological functions and creates pleasant life environment on a distant planet. Choice of space diet is one of primary decision required for designing space agriculture. We shall consider diverse food culture as well. We propose cassava, Manihot esculentaand, for one major composition of space food materials. Cassava is a major crop in Africa. It can grow under severe environment. Once farming condition is optimized, the crop yield efficiency is the best among rice, wheat, potato, and sweet potato, in terms of required area to harvest biomass energy from limited area of planting. Propagation made by stem cutting is another advantage of cassava in space agriculture avoiding entomophilous or anemophilous process to pollinate. Cassava for space agriculture would be a good example of promoting mission planning under cooperation between advanced manned space nations and less-space faring countries. It might enforce robustness of the life support capability based on the diversity of agricultural system. More importantly, dream of flying space could be shared by people, regardless of their present commitment to space.
{"title":"Cassava for space diet - African contribution to space exploration -","authors":"N. Katayama, H. Hashimoto, P. Njemanze, K. Tomita-Yokotani, M. Yamashita","doi":"10.1109/RAST.2009.5158257","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158257","url":null,"abstract":"Space agriculture is an advanced concept to support life on extraterrestrial outpost. It drives materials recycle loop by biological and ecological functions and creates pleasant life environment on a distant planet. Choice of space diet is one of primary decision required for designing space agriculture. We shall consider diverse food culture as well. We propose cassava, Manihot esculentaand, for one major composition of space food materials. Cassava is a major crop in Africa. It can grow under severe environment. Once farming condition is optimized, the crop yield efficiency is the best among rice, wheat, potato, and sweet potato, in terms of required area to harvest biomass energy from limited area of planting. Propagation made by stem cutting is another advantage of cassava in space agriculture avoiding entomophilous or anemophilous process to pollinate. Cassava for space agriculture would be a good example of promoting mission planning under cooperation between advanced manned space nations and less-space faring countries. It might enforce robustness of the life support capability based on the diversity of agricultural system. More importantly, dream of flying space could be shared by people, regardless of their present commitment to space.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132451257","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158193
Ming Li, I. Tansel, Xiaohua Li, M. Demetgul
Integrated System Health Management (ISHM) will be an important component of the future launching vehicles and satellites. ISHM uses large number of sensors to evaluate the condition of the entire system. It is responsible to take the necessary corrective actions and to change the course of action if the health of the system will not allow successful completion of the mission. In this paper, Self Organizing Map (SOM) is integrated into the previously introduced Index Based Reasoner (IBR). The Simulink model of the proposed IBR-SOM approach is demonstrated and performance of the system is evaluated on the experimental data.
{"title":"Integrated System Health Management by using the Index Based Reasoning (IBR) and Self Organizing Map (SOM) combination","authors":"Ming Li, I. Tansel, Xiaohua Li, M. Demetgul","doi":"10.1109/RAST.2009.5158193","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158193","url":null,"abstract":"Integrated System Health Management (ISHM) will be an important component of the future launching vehicles and satellites. ISHM uses large number of sensors to evaluate the condition of the entire system. It is responsible to take the necessary corrective actions and to change the course of action if the health of the system will not allow successful completion of the mission. In this paper, Self Organizing Map (SOM) is integrated into the previously introduced Index Based Reasoner (IBR). The Simulink model of the proposed IBR-SOM approach is demonstrated and performance of the system is evaluated on the experimental data.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115188429","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158294
O. Shekoofa, N. Pouryaie, Kaveh Sohrabzadeh, M. Rezvani
This paper intends to report and describe a variety of activities such as modeling, simulation, design, implementation, test and analysis in order to design and develop EMUBAT, a battery emulator for space applications. The first step of EMUBAT development is battery modeling which is performed by using a typical equivalent circuit. The required parameters for battery modeling are extracted by means of electrical characteristics curves which are presented in battery datasheets or obtained from battery testing. Then, the orbit parameter modeling is investigated for LEO and GEO satellites. Battery thermal conditions due to its in-orbit operations are modeled in the next step. Finally, the hardware configuration and the software structure of EMUBAT are described. Besides, a battery test setup is presented, which is established to facilitate the process of obtaining the required data and parameters, for EMUBAT modeling and simulation. This test setup also makes it possible to have an easier and more precise verification of the emulator outputs.
{"title":"Improving the EGSE of power subsystem by design and development of a battery emulator for space applications","authors":"O. Shekoofa, N. Pouryaie, Kaveh Sohrabzadeh, M. Rezvani","doi":"10.1109/RAST.2009.5158294","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158294","url":null,"abstract":"This paper intends to report and describe a variety of activities such as modeling, simulation, design, implementation, test and analysis in order to design and develop EMUBAT, a battery emulator for space applications. The first step of EMUBAT development is battery modeling which is performed by using a typical equivalent circuit. The required parameters for battery modeling are extracted by means of electrical characteristics curves which are presented in battery datasheets or obtained from battery testing. Then, the orbit parameter modeling is investigated for LEO and GEO satellites. Battery thermal conditions due to its in-orbit operations are modeled in the next step. Finally, the hardware configuration and the software structure of EMUBAT are described. Besides, a battery test setup is presented, which is established to facilitate the process of obtaining the required data and parameters, for EMUBAT modeling and simulation. This test setup also makes it possible to have an easier and more precise verification of the emulator outputs.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115561044","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158231
Serkan Öztan, Nihat Serkan Öztan
Evaporate minerals are important industrial raw materials used in diverse industries for years. One of the extensively used evaporate mineral gypsum has become very common raw material in construction, agriculture, textile, dentistry and chemical industry in recent years. In coherence with its common use especially in construction industry as plaster, demand to these minerals rises each following year. The aim of this study is to further develop thermal image processing methods to identify gypsum minerals. For the remote sensing analyses ASTER images which have high spatial and spectral resolution are used. Ankara Bala region has well known outcrops with operational mines and mapped in detail by the studies of MTA so that this region is selected as the test area.
{"title":"Evaporate mapping in Bala region (Ankara) by remote sensing techniques","authors":"Serkan Öztan, Nihat Serkan Öztan","doi":"10.1109/RAST.2009.5158231","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158231","url":null,"abstract":"Evaporate minerals are important industrial raw materials used in diverse industries for years. One of the extensively used evaporate mineral gypsum has become very common raw material in construction, agriculture, textile, dentistry and chemical industry in recent years. In coherence with its common use especially in construction industry as plaster, demand to these minerals rises each following year. The aim of this study is to further develop thermal image processing methods to identify gypsum minerals. For the remote sensing analyses ASTER images which have high spatial and spectral resolution are used. Ankara Bala region has well known outcrops with operational mines and mapped in detail by the studies of MTA so that this region is selected as the test area.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114750788","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 : 2009-06-11DOI: 10.1109/RAST.2009.5158236
I. Bekmezci, F. Alagoz
Global time synchronization is an important service for wireless sensor networks, WSNs. Although there are global time synchronization techniques for WSNs, almost all of them assume that the sink has the same transmission range with the regular sensor nodes. In this paper, the performance of global WSN time synchronization is investigated with the existence of the sink with high range transmitter. A simulation environment is developed to investigate the precision, energy saving and run time. Simulation results have shown that the sink with high range transmitter can increase precision up to 4 times compared to a system without high range transmitter. The sink with high range transmitter can also consume 3 times less energy and reduce run time up to 11 times.
{"title":"Global time synchronization with high range transmitter","authors":"I. Bekmezci, F. Alagoz","doi":"10.1109/RAST.2009.5158236","DOIUrl":"https://doi.org/10.1109/RAST.2009.5158236","url":null,"abstract":"Global time synchronization is an important service for wireless sensor networks, WSNs. Although there are global time synchronization techniques for WSNs, almost all of them assume that the sink has the same transmission range with the regular sensor nodes. In this paper, the performance of global WSN time synchronization is investigated with the existence of the sink with high range transmitter. A simulation environment is developed to investigate the precision, energy saving and run time. Simulation results have shown that the sink with high range transmitter can increase precision up to 4 times compared to a system without high range transmitter. The sink with high range transmitter can also consume 3 times less energy and reduce run time up to 11 times.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129498547","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}
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