Using the topographic data at the scale of 1:100000 in 1960's, and Landsat MSS in 1970's, Landsat TM in 1990's, Landsat ETM+ in 2000's, we carried out the survey of the lake distribution and its dynamic changes on Tibetan Plateau. The result indicates that there are 3 lakes within the area more than 1000km2, 74 lakes within area more than 100km2, 382 lakes within the area more than 10km2, 1260 lakes with the area more than 1km2, 6882 lakes within the area more than 0.1km2, and the total area of lakes is about 43186.4km2 on Tibetan Plateau. The area of lakes has taken place significantly changes during the past 30 years. The total area of lakes has increased 1610.01km2. The area of increased lakes are 157 lakes within area more than 1km2, 5411 lakes within area more than 0.1km2 and small lakes increased in hundreds and thousands. The area and amount of lakes increase most obviously in Qiangtang Plateau and Kunlun Mountains, and decrease most obviously in Qaidam basin, Hexi Corridor, Yellow River Basin, Yarlung Zangbo River Basin. The expanded and newborn lakes are distributed in the inner Plateau and disappeared and decreased lakes in the surrounding area of the Plateau. The increase and decrease of lake area has some related with climate changes, but mainly related to the local topography controlled by neo-tectonic.
{"title":"Dynamic changes of lakes and the geo-mechanism in Tibet based on RS and GIS technology","authors":"Qigang Jiang, Hongbin Fang, Yuanhua Li, Jicheng Zhang","doi":"10.1117/12.816189","DOIUrl":"https://doi.org/10.1117/12.816189","url":null,"abstract":"Using the topographic data at the scale of 1:100000 in 1960's, and Landsat MSS in 1970's, Landsat TM in 1990's, Landsat ETM+ in 2000's, we carried out the survey of the lake distribution and its dynamic changes on Tibetan Plateau. The result indicates that there are 3 lakes within the area more than 1000km2, 74 lakes within area more than 100km2, 382 lakes within the area more than 10km2, 1260 lakes with the area more than 1km2, 6882 lakes within the area more than 0.1km2, and the total area of lakes is about 43186.4km2 on Tibetan Plateau. The area of lakes has taken place significantly changes during the past 30 years. The total area of lakes has increased 1610.01km2. The area of increased lakes are 157 lakes within area more than 1km2, 5411 lakes within area more than 0.1km2 and small lakes increased in hundreds and thousands. The area and amount of lakes increase most obviously in Qiangtang Plateau and Kunlun Mountains, and decrease most obviously in Qaidam basin, Hexi Corridor, Yellow River Basin, Yarlung Zangbo River Basin. The expanded and newborn lakes are distributed in the inner Plateau and disappeared and decreased lakes in the surrounding area of the Plateau. The increase and decrease of lake area has some related with climate changes, but mainly related to the local topography controlled by neo-tectonic.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"16 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129925847","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}
Yan Wang, Zhongkui Ji, Yan Chen, Jun Gu, Xiangyang Wu, W. Yin
This paper selects the four districts of Beijing-Shunyi District, Tongzhou District, Huairou District and Pinggu District, integrates with the strong points of Beijing-1 small satellite ("autonomous control, flexible and maneuverable, short re-visit period") as well as those of survey-type GPS "Star of Survey" (easy operation, high mapping precision) ("Double Star Mode for short"), carries out quarterly survey on land use changes survey in the four demonstration and application districts and makes analysis of the demonstration and application in terms of operation, technology and fund. It proves, this mode can accomplish the working target of land survey-"Monthly Settlement and Quarterly Accumulation",shortens the previous yearly alteration survey to quarterly survey, which saves large manpower, material resources and funds. This mode provides technical reference for the survey on land use carried out in some economy-developed regions.
{"title":"System research and demonstrating application of Double Star combined new mode of survey on the situation of land use","authors":"Yan Wang, Zhongkui Ji, Yan Chen, Jun Gu, Xiangyang Wu, W. Yin","doi":"10.1117/12.816186","DOIUrl":"https://doi.org/10.1117/12.816186","url":null,"abstract":"This paper selects the four districts of Beijing-Shunyi District, Tongzhou District, Huairou District and Pinggu District, integrates with the strong points of Beijing-1 small satellite (\"autonomous control, flexible and maneuverable, short re-visit period\") as well as those of survey-type GPS \"Star of Survey\" (easy operation, high mapping precision) (\"Double Star Mode for short\"), carries out quarterly survey on land use changes survey in the four demonstration and application districts and makes analysis of the demonstration and application in terms of operation, technology and fund. It proves, this mode can accomplish the working target of land survey-\"Monthly Settlement and Quarterly Accumulation\",shortens the previous yearly alteration survey to quarterly survey, which saves large manpower, material resources and funds. This mode provides technical reference for the survey on land use carried out in some economy-developed regions.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045000","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}
Urban heat island (UHI) is an important feature of urban thermal environment. In order to detect the seasonal characteristics of urban heat island in Beijing city, Landsat 5 TM images acquired on July 25th 2005, November 14th 2005, and April 7th 2006 respectively were used to retrieve land surface temperature (LST) of Beijing city based on the generalized single channel algorithm which is a new algorithm applicable to retrieve land surface temperature from only one thermal infrared channel. Then seasonal urban thermal environmental characteristics were analyzed. The result shows that in summer the urban heat island phenomenon is evident, and in both winter and spring, land surface temperature within the second ring road is obviously higher than that between the second and the fourth ring roads showing the ring-shaped UHI features, which is in accordance with the ring-road system of Beijing city. But areas outside the fourth ring road show lighter tone (meaning higher temperature) in the land surface temperature distribution map of winter and spring and reasons for this abnormity were given.
{"title":"Analysis on seasonal characteristics of UHI in Beijing city using Landsat 5 TM data","authors":"Zhao-ming Zhang, G. He","doi":"10.1117/12.816175","DOIUrl":"https://doi.org/10.1117/12.816175","url":null,"abstract":"Urban heat island (UHI) is an important feature of urban thermal environment. In order to detect the seasonal characteristics of urban heat island in Beijing city, Landsat 5 TM images acquired on July 25th 2005, November 14th 2005, and April 7th 2006 respectively were used to retrieve land surface temperature (LST) of Beijing city based on the generalized single channel algorithm which is a new algorithm applicable to retrieve land surface temperature from only one thermal infrared channel. Then seasonal urban thermal environmental characteristics were analyzed. The result shows that in summer the urban heat island phenomenon is evident, and in both winter and spring, land surface temperature within the second ring road is obviously higher than that between the second and the fourth ring roads showing the ring-shaped UHI features, which is in accordance with the ring-road system of Beijing city. But areas outside the fourth ring road show lighter tone (meaning higher temperature) in the land surface temperature distribution map of winter and spring and reasons for this abnormity were given.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888787","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}
Traditional classification methods based on Bayes rule only use spectral information, whereas, other characteristics such as shape, size, situation and pattern are seldom taken into account to extract land use and land cover information. A new method based on spectral, contextual and ancillary information has been proposed in this paper to address to the problem of misclassification. The study area is located in an arid area of northern China. Based on eCognition software, A TM image and a DEM was utilized in this paper to investigate the effectiveness of the image-cognition based on classification method in land use/land cover classification of arid areas. The image was first segmented into a number of objects and then classified as 22 classes based on the spectral, shape, area, spatial position, pattern and context information with the fuzzy logic rules. Finally, the classification method has been proved to be effective and produced an overall accuracy up to 85.3% and a Kappa coefficient of 84%. The classification result suggests that this method is effective and feasible to classify the main types of ground objects in the large complex and arid area for land use survey.
{"title":"Study on the automatic classification for land use/land cover in arid area based upon remotely sensed image cognition","authors":"Ai-hua Li, Yong Liu, Yang Guo, Hong Wang","doi":"10.1117/12.816183","DOIUrl":"https://doi.org/10.1117/12.816183","url":null,"abstract":"Traditional classification methods based on Bayes rule only use spectral information, whereas, other characteristics such as shape, size, situation and pattern are seldom taken into account to extract land use and land cover information. A new method based on spectral, contextual and ancillary information has been proposed in this paper to address to the problem of misclassification. The study area is located in an arid area of northern China. Based on eCognition software, A TM image and a DEM was utilized in this paper to investigate the effectiveness of the image-cognition based on classification method in land use/land cover classification of arid areas. The image was first segmented into a number of objects and then classified as 22 classes based on the spectral, shape, area, spatial position, pattern and context information with the fuzzy logic rules. Finally, the classification method has been proved to be effective and produced an overall accuracy up to 85.3% and a Kappa coefficient of 84%. The classification result suggests that this method is effective and feasible to classify the main types of ground objects in the large complex and arid area for land use survey.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"100 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120822173","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}
Y. Liu, Yang Guo, Jie Wang, Jiangting Fan, Xiaoyan Wang, Yanyun Nian
Ground based measurements on spectral reflectance, vegetation indices, leaf area index and the temperature and water content of soil with different land covers play key roles on both the evaluation on image information retrieval models, and environmental monitoring with remote sensing technology. In early- and mid-July, 2007, the authors conducted a field campaign for the synthetic measurement of ground spectrum reflectance, normalized difference vegetation index (NDVI), leaf area index (LAI), as well as the water content, saline, and temperature of soil with a series of portable instruments, on different kinds of land use/land cover. Following conclusions were got: (1) Either for alpine meadow, or for farm land with paddy, harvest wheat, maize, or bean, their diurnal variations of NDVI are small. The diurnal variations of spectral reflectance and LAI are evident and irregular. The possible reason for the variations of spectral reflectance is up to weather condition; (2) Synthetic correlation analysis on both NDVI and LAI of 9 kinds of land use/land cover from 23 measuring sites shows that the linear relationship between both is good. But the diurnal variation of LAI and the saturation effect of NDVI induce uncertainty of this relationship.
{"title":"A preliminary approach on the synchronically ground based measurement of spectral reflectance, NDVI, LAI, and the temperature and moisture of soils","authors":"Y. Liu, Yang Guo, Jie Wang, Jiangting Fan, Xiaoyan Wang, Yanyun Nian","doi":"10.1117/12.816197","DOIUrl":"https://doi.org/10.1117/12.816197","url":null,"abstract":"Ground based measurements on spectral reflectance, vegetation indices, leaf area index and the temperature and water content of soil with different land covers play key roles on both the evaluation on image information retrieval models, and environmental monitoring with remote sensing technology. In early- and mid-July, 2007, the authors conducted a field campaign for the synthetic measurement of ground spectrum reflectance, normalized difference vegetation index (NDVI), leaf area index (LAI), as well as the water content, saline, and temperature of soil with a series of portable instruments, on different kinds of land use/land cover. Following conclusions were got: (1) Either for alpine meadow, or for farm land with paddy, harvest wheat, maize, or bean, their diurnal variations of NDVI are small. The diurnal variations of spectral reflectance and LAI are evident and irregular. The possible reason for the variations of spectral reflectance is up to weather condition; (2) Synthetic correlation analysis on both NDVI and LAI of 9 kinds of land use/land cover from 23 measuring sites shows that the linear relationship between both is good. But the diurnal variation of LAI and the saturation effect of NDVI induce uncertainty of this relationship.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115722801","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}
In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.
{"title":"Retrieval of cyanobacteria in Taihu based on MODIS data","authors":"Xiuli Han, P. Cong, Yuxiao Qin, Xiaoxiang Zhu","doi":"10.1117/12.816195","DOIUrl":"https://doi.org/10.1117/12.816195","url":null,"abstract":"In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"348 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122549067","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}
Shang-Ming Dan, B. Dan, Jinjin Liao, J. Xia, Gang-yi Chen, Huixi Xu, Q. Ye
This paper, based on CBERS (China Brazil Earth Resources Satellite) and NOAA/AVHRR Satellite Remote Sensing Data and other information acquired in the summer of 2001 and 2006 respectively, came up with the following results: a) the urban build-up area in Chengdu widened by approximate 38%; b) the urban area under heat urban effects expanded whilst some areas witnessed abatement in the intensity of effects and industrial and commercial districts turned to be new spots of urban heat island; c) factors such as progress of urbanisation, change of urban structure, and increase in population and green area acted as drivers in the evolution of urban heat island.
{"title":"Analysis of trends of urban heat island and its drivers in Chengdu","authors":"Shang-Ming Dan, B. Dan, Jinjin Liao, J. Xia, Gang-yi Chen, Huixi Xu, Q. Ye","doi":"10.1117/12.816171","DOIUrl":"https://doi.org/10.1117/12.816171","url":null,"abstract":"This paper, based on CBERS (China Brazil Earth Resources Satellite) and NOAA/AVHRR Satellite Remote Sensing Data and other information acquired in the summer of 2001 and 2006 respectively, came up with the following results: a) the urban build-up area in Chengdu widened by approximate 38%; b) the urban area under heat urban effects expanded whilst some areas witnessed abatement in the intensity of effects and industrial and commercial districts turned to be new spots of urban heat island; c) factors such as progress of urbanisation, change of urban structure, and increase in population and green area acted as drivers in the evolution of urban heat island.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"7123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408774","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}
X. Zha, R. Fu, Z. Dai, Bin Liu, Yu Chen, Ting‐Xiao Xue
Bam seismogenic fault is blind, so it is important to discover its strike and pattern for earthquake prediction and hazard mitigation of this area. Firstly we use the interferometric algorithm to process seven scenes synthetic aperture radar data, which are provided by European Space Agency, and obtain the coseismic deformation interferograms. Then considering the similarity of interferometric stripes on two deformation interferograms from the descending orbits and the difference of their imaging geometry, we use Fialko's method to construct the 3D coseismic deformation displacement field. Finally we infer the strike and pattern of the Bam fault according to the difference of the vector's orientation in the horizontal displacement field. The strike of Bam main fault is from northwest-southeast to north-south, and a branch is stretching toward northeast. The projection of the Bam fault is "Y" shaped on the Earth's surface, basically consistent with the Nakamura's results inferred from seismic data.
{"title":"The strike and pattern of the Bam blind fault inferred from synthetic aperature radar data","authors":"X. Zha, R. Fu, Z. Dai, Bin Liu, Yu Chen, Ting‐Xiao Xue","doi":"10.1117/12.816178","DOIUrl":"https://doi.org/10.1117/12.816178","url":null,"abstract":"Bam seismogenic fault is blind, so it is important to discover its strike and pattern for earthquake prediction and hazard mitigation of this area. Firstly we use the interferometric algorithm to process seven scenes synthetic aperture radar data, which are provided by European Space Agency, and obtain the coseismic deformation interferograms. Then considering the similarity of interferometric stripes on two deformation interferograms from the descending orbits and the difference of their imaging geometry, we use Fialko's method to construct the 3D coseismic deformation displacement field. Finally we infer the strike and pattern of the Bam fault according to the difference of the vector's orientation in the horizontal displacement field. The strike of Bam main fault is from northwest-southeast to north-south, and a branch is stretching toward northeast. The projection of the Bam fault is \"Y\" shaped on the Earth's surface, basically consistent with the Nakamura's results inferred from seismic data.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121973945","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}
Petroleum pollution is a key indicator to monitor and assess water environment in petroleum fields. Five sessions of field work were made in Liaohe River in Panjin city, Liaoning province of China in 2006 and 2007. Field water spectra and concurrent water samples for laboratory measurements of chlorophyll, petroleum pollution, and suspended material were collected. An important feature of water spectra influenced by petroleum pollution was found to show that there are three peaks and two troughs in spectral curves. The peaks are at 570-590, 680-710, and 810-830nm, while troughs are at 650-680 and 740-760nm. The field spectra were used as to correspond to Landsat TM bands to establish estimate models of petroleum pollution concentration. The models were applied to the Landsat/ TM image on 11th Oct 2006 to obtain the distribution image of petroleum pollution. The accuracy is up to 80% for petroleum pollution estimation with the validation of reserved samples. The result shows that the estimate models from remotely sensing data provide an effective means to obtain rapidly and low-cost the distribution of petroleum pollution concentration in the study area.
{"title":"Analysis of water spectral features of petroleum pollution and estimate models from remote sensing data","authors":"Miao-fen Huang, Wuyi Yu, Yimin Zhang, Jinmei Shen, Xiaoping Qi","doi":"10.1117/12.816200","DOIUrl":"https://doi.org/10.1117/12.816200","url":null,"abstract":"Petroleum pollution is a key indicator to monitor and assess water environment in petroleum fields. Five sessions of field work were made in Liaohe River in Panjin city, Liaoning province of China in 2006 and 2007. Field water spectra and concurrent water samples for laboratory measurements of chlorophyll, petroleum pollution, and suspended material were collected. An important feature of water spectra influenced by petroleum pollution was found to show that there are three peaks and two troughs in spectral curves. The peaks are at 570-590, 680-710, and 810-830nm, while troughs are at 650-680 and 740-760nm. The field spectra were used as to correspond to Landsat TM bands to establish estimate models of petroleum pollution concentration. The models were applied to the Landsat/ TM image on 11th Oct 2006 to obtain the distribution image of petroleum pollution. The accuracy is up to 80% for petroleum pollution estimation with the validation of reserved samples. The result shows that the estimate models from remotely sensing data provide an effective means to obtain rapidly and low-cost the distribution of petroleum pollution concentration in the study area.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132992878","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}
Weili Jiao, Bo Cheng, Wenqi Zhu, Wenyi Liu, G. He, Wei Wang, Xiaomei Zhang
Position accuracy is the base of remote sensing image application. In this paper, the effect of the number, the distribution and the accuracy of ground control points (GCPs) and DEM in different scales for the image rectification is analyzed in detail. Quantitative evaluation of orthoimage is performed. The mathematical functions for calculating the position accuracy of the orthoimage are given based on different georeference information. The relation between the final accuracies of orthoimages and the accuracies of GCPs and DEM is analyzed based on the experiment results. It shows that accuracies of the checked orthoimages coincide with the calculated accuracies. The final accuracy can be estimated with the method described in this paper if the accuracy of control data is known. On the other hand, if the final accuracy of the orthoimage were determined, the least requirements for the accuracies of GCPs and DEM could be calculated by the mathematical functions.
{"title":"Accuracy analysis of remote sensing image rectification","authors":"Weili Jiao, Bo Cheng, Wenqi Zhu, Wenyi Liu, G. He, Wei Wang, Xiaomei Zhang","doi":"10.1117/12.815554","DOIUrl":"https://doi.org/10.1117/12.815554","url":null,"abstract":"Position accuracy is the base of remote sensing image application. In this paper, the effect of the number, the distribution and the accuracy of ground control points (GCPs) and DEM in different scales for the image rectification is analyzed in detail. Quantitative evaluation of orthoimage is performed. The mathematical functions for calculating the position accuracy of the orthoimage are given based on different georeference information. The relation between the final accuracies of orthoimages and the accuracies of GCPs and DEM is analyzed based on the experiment results. It shows that accuracies of the checked orthoimages coincide with the calculated accuracies. The final accuracy can be estimated with the method described in this paper if the accuracy of control data is known. On the other hand, if the final accuracy of the orthoimage were determined, the least requirements for the accuracies of GCPs and DEM could be calculated by the mathematical functions.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128467006","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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