This paper proposes a rover localization method from long stereo image sequences by using visual odometry based on bundle adjustment. Firstly, a progressive stereo image network is built by feature tracking in multiple frames of the stereo image sequence. Then exterior orientation parameters of all images in the network are solved by using bundle adjustment technique to get the rover position. Field experimental results demonstrate that the developed method can localize the rover in real time (2fps) with an accuracy of between than 1.5%.
{"title":"Rover localization from long stereo image sequences using visual odometry based on bundle adjustment","authors":"W. Wan, Zhaoqin Liu, K. Di","doi":"10.1117/12.910363","DOIUrl":"https://doi.org/10.1117/12.910363","url":null,"abstract":"This paper proposes a rover localization method from long stereo image sequences by using visual odometry based on bundle adjustment. Firstly, a progressive stereo image network is built by feature tracking in multiple frames of the stereo image sequence. Then exterior orientation parameters of all images in the network are solved by using bundle adjustment technique to get the rover position. Field experimental results demonstrate that the developed method can localize the rover in real time (2fps) with an accuracy of between than 1.5%.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121771944","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}
Yujie Huang, Shen Yi, Zongyu Li, S. Shao, Xiaochun Qin
Landslide is one of the serious geological disasters that bring serious impact on transportation construction and highway traffics. It is critical to improve the level of warning and emergency response to the highway landslide. Based on the application of unmanned aerial vehicles (UAV), the highway landslide warning and emergency response system is developed in this paper. The system consists of two main components, including landslide warning sub-system and the UAV emergency response sub-system. The establishment of this system will contribute to: 1) improving the warning and monitoring of highway landslide; 2) quickly understanding the situation of landslide disaster, and therefore helping the policy-makers with emergency rescue, disaster assessment, and reconstruction; and 3) using it as a research platform for large-scale landslides, debris flow monitoring and warning, and other emergency relief work.
{"title":"Design of highway landslide warning and emergency response systems based on UAV","authors":"Yujie Huang, Shen Yi, Zongyu Li, S. Shao, Xiaochun Qin","doi":"10.1117/12.910424","DOIUrl":"https://doi.org/10.1117/12.910424","url":null,"abstract":"Landslide is one of the serious geological disasters that bring serious impact on transportation construction and highway traffics. It is critical to improve the level of warning and emergency response to the highway landslide. Based on the application of unmanned aerial vehicles (UAV), the highway landslide warning and emergency response system is developed in this paper. The system consists of two main components, including landslide warning sub-system and the UAV emergency response sub-system. The establishment of this system will contribute to: 1) improving the warning and monitoring of highway landslide; 2) quickly understanding the situation of landslide disaster, and therefore helping the policy-makers with emergency rescue, disaster assessment, and reconstruction; and 3) using it as a research platform for large-scale landslides, debris flow monitoring and warning, and other emergency relief work.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117018148","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}
Chunyan Zhang, Y. Guan, Shan Guo, Jia-Hong Li, Jianjun Wu, Yuerong Jia, Danlu Cai, Hong-Wei Duan, Xin Zhang, Tiejun Zhao, Xudong An, Lihua Kang
Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.
{"title":"Land-cover change of the wuda coal fire area","authors":"Chunyan Zhang, Y. Guan, Shan Guo, Jia-Hong Li, Jianjun Wu, Yuerong Jia, Danlu Cai, Hong-Wei Duan, Xin Zhang, Tiejun Zhao, Xudong An, Lihua Kang","doi":"10.1117/12.910411","DOIUrl":"https://doi.org/10.1117/12.910411","url":null,"abstract":"Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124571072","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}
Hailiang Gao, Xingfa Gu, Tao Yu, Xiaoying Li, Jinging Zhi, Yujuan Xie, Xiaohong Ma
The first 20 channel images of Hyper Spectral Image (HSI) have obvious stripe noise, which seriously affects the application of the HSI data. This paper summarized and analyzed the existed destriping methods. Based on the image characteristics of HSI, a new stripe noise removal method was proposed by using spline interpolation function to resample. Taking the HSI image of Guangzhou area as an example, the Fourier transform method, moment matching method and the new method proposed in this paper were used to remove the stripe noise. The results showed that the Fourier transform method couldn't remove the image stripe noise effectively; the moment matching method could remove the image stripe noise, but it also forced the image mean column value to 1, which would destroy the differences of image features information; The new method proposed in this paper was able to retain the differences of image surface features while removing the image stripe noise. The destriping efficiency of the new method was better than the other methods.
{"title":"Removing the stripe noise in HJ-1A HSI images","authors":"Hailiang Gao, Xingfa Gu, Tao Yu, Xiaoying Li, Jinging Zhi, Yujuan Xie, Xiaohong Ma","doi":"10.1117/12.910364","DOIUrl":"https://doi.org/10.1117/12.910364","url":null,"abstract":"The first 20 channel images of Hyper Spectral Image (HSI) have obvious stripe noise, which seriously affects the application of the HSI data. This paper summarized and analyzed the existed destriping methods. Based on the image characteristics of HSI, a new stripe noise removal method was proposed by using spline interpolation function to resample. Taking the HSI image of Guangzhou area as an example, the Fourier transform method, moment matching method and the new method proposed in this paper were used to remove the stripe noise. The results showed that the Fourier transform method couldn't remove the image stripe noise effectively; the moment matching method could remove the image stripe noise, but it also forced the image mean column value to 1, which would destroy the differences of image features information; The new method proposed in this paper was able to retain the differences of image surface features while removing the image stripe noise. The destriping efficiency of the new method was better than the other methods.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116523997","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}
The urban development is usually accompanied with the re-planning and reconstruction of the old urban area, which is one of the key issues of the urban development program. Over the past decade, Fuzhou City of Fujian province, SE China, has speeded up its reconstruction progress. The Cangxia area, located in the southwestern of the city, was replaned and reconstructed to improve people's living conditions because the area was full of intensively-built squatter settlements. In order to study the thermal environmental changes of the Cangxia area before and after the reconstruction, three Landsat TM images of 1986, 1996 and 2006 were utilized to perform feature extractions of the thermal-related information of the area, such as the land surface temperature (LST), impervious surface area (ISA) and vegetation coverage. The quantitative analysis on the relationship between ISA and LST suggested a positive exponential relationship between the two factors. With the assistance of the Urban-Heat-Island Ratio Index (URI), the digital image processing on the three multi-temporal images revealed the spatial and temporal variations of the urban heat island (UHI) effect in the investigated area from 1986 to 2006. The results showed that after the launch of the reconstruction project of this squatter settlement-dominated area, the UHI effect in the area had been greatly mitigated in the past 20 years, since the URI value had been decreased from 0.648 in 1986 to 0.245 in 2006. This owes greatly to the significant decrease in high-density ISAs and the notable increase in vegetation covers. The reconstruction is of benefit to the UHI mitigation of the Cangxia area.
城市发展往往伴随着旧城区的重新规划和改造，旧城区的重新规划和改造是城市发展规划的关键问题之一。在过去的十年里，中国东南部福建省福州市加快了重建进程。位于城市西南部的苍峡地区，由于到处都是密集建造的棚户区，为了改善人们的生活条件，进行了重新规划和重建。为了研究重建前后苍峡地区的热环境变化，利用1986年、1996年和2006年3幅Landsat TM影像对该地区的地表温度(LST)、不透水面面积(ISA)和植被覆盖度等热相关信息进行特征提取。定量分析了ISA与LST之间的关系，二者呈正指数关系。利用城市热岛比指数(urban - heat - island Ratio Index, URI)对3幅多时相影像进行数字图像处理，揭示了1986 - 2006年调查区城市热岛效应的时空变化特征。结果表明:在棚户区改造工程启动后，该地区的UHI效应在过去的20年里得到了很大的缓解，URI值从1986年的0.648下降到2006年的0.245。这在很大程度上是由于高密度isa的显著减少和植被覆盖的显著增加。重建对缓解苍峡地区热岛影响具有重要意义。
{"title":"The influence of urban reconstruction in urban heat island effect: Cangxia area of Fuzhou City, China","authors":"Fei Tang, Hanqiu Xu","doi":"10.1117/12.910413","DOIUrl":"https://doi.org/10.1117/12.910413","url":null,"abstract":"The urban development is usually accompanied with the re-planning and reconstruction of the old urban area, which is one of the key issues of the urban development program. Over the past decade, Fuzhou City of Fujian province, SE China, has speeded up its reconstruction progress. The Cangxia area, located in the southwestern of the city, was replaned and reconstructed to improve people's living conditions because the area was full of intensively-built squatter settlements. In order to study the thermal environmental changes of the Cangxia area before and after the reconstruction, three Landsat TM images of 1986, 1996 and 2006 were utilized to perform feature extractions of the thermal-related information of the area, such as the land surface temperature (LST), impervious surface area (ISA) and vegetation coverage. The quantitative analysis on the relationship between ISA and LST suggested a positive exponential relationship between the two factors. With the assistance of the Urban-Heat-Island Ratio Index (URI), the digital image processing on the three multi-temporal images revealed the spatial and temporal variations of the urban heat island (UHI) effect in the investigated area from 1986 to 2006. The results showed that after the launch of the reconstruction project of this squatter settlement-dominated area, the UHI effect in the area had been greatly mitigated in the past 20 years, since the URI value had been decreased from 0.648 in 1986 to 0.245 in 2006. This owes greatly to the significant decrease in high-density ISAs and the notable increase in vegetation covers. The reconstruction is of benefit to the UHI mitigation of the Cangxia area.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648210","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}
The coastal zone in Beibu Gulf is dominated by diurnal tide and there exists the largest mangrove community in China. The frequently used mangrove extraction methods seldom took the tide influence into account which would lead to extracted area loss on single instantaneous remote sensing image. The loss cannot be ignored when the mangrove submerged time is long. This study took one portion of Beibu gulf coastline as research site. Four temporal HJ CCD images with different tide levels were selected for inundation mangrove extraction and coastal terrain classification. Based on the analysis of targets image-spectra, several decision factors were proposed, and subsequently a multi-layer decision tree was constructed. After the classification, target distributions at research site including the submerged mangrove were acquired. The overall classification precision was high up to 91.79%, and the Kappa coefficient was 0.9064. The obtained submerged mangrove area was 2.155 km2, which comprised 4.5% of total mangrove area and would be lost if the extraction were only applied on single image.
{"title":"The extraction of mangrove within intertidal zone based on multi-temporal HJ CCD images","authors":"Shanshan Li, Q. Tian, Tao Yu, Xingfa Gu","doi":"10.1117/12.910407","DOIUrl":"https://doi.org/10.1117/12.910407","url":null,"abstract":"The coastal zone in Beibu Gulf is dominated by diurnal tide and there exists the largest mangrove community in China. The frequently used mangrove extraction methods seldom took the tide influence into account which would lead to extracted area loss on single instantaneous remote sensing image. The loss cannot be ignored when the mangrove submerged time is long. This study took one portion of Beibu gulf coastline as research site. Four temporal HJ CCD images with different tide levels were selected for inundation mangrove extraction and coastal terrain classification. Based on the analysis of targets image-spectra, several decision factors were proposed, and subsequently a multi-layer decision tree was constructed. After the classification, target distributions at research site including the submerged mangrove were acquired. The overall classification precision was high up to 91.79%, and the Kappa coefficient was 0.9064. The obtained submerged mangrove area was 2.155 km2, which comprised 4.5% of total mangrove area and would be lost if the extraction were only applied on single image.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125321015","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}
This paper proposes a status monitoring and exception handling mechanism for geospatial information services. After introducing a two-level collaborative model and information exchange center, definition and monitoring methods of service status are provided. On this basis, multi-geospatial agents based collaborative monitoring process and exception handling activities are used to enhance the quality and reliability of geospatial information services.
{"title":"Status monitoring and exception handling mechanism for geospatial information services","authors":"Dengrong Zhang, Bin Xie, Yan Ma","doi":"10.1117/12.910371","DOIUrl":"https://doi.org/10.1117/12.910371","url":null,"abstract":"This paper proposes a status monitoring and exception handling mechanism for geospatial information services. After introducing a two-level collaborative model and information exchange center, definition and monitoring methods of service status are provided. On this basis, multi-geospatial agents based collaborative monitoring process and exception handling activities are used to enhance the quality and reliability of geospatial information services.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123913001","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}
Chlorophyll-a concentration is one of the most important indexes of Lake Eutrophication. Fine temporal and spatial resolution remote sensing images provide an effective way to monitor blue-green algae in Lake Taihu by studying the spatial distribution regularities of chla concentration. However, both low spatial resolution remote sensing images (e.g. MODIS) due to their heterogeneity and high or moderate spatial resolution remote sensing images (e.g. TM/ETM+) due to their low temporal resolution give rise to unsatisfactory estimate of chla concentration. Therefore, in this study, an effective method for estimating chla concentration using remote sensing images at different scales was developed. Chla concentration was inferred from Hyperion images at 30m resolution and MODIS images at 250m resolution. The spatial variability of Chla concentration was analyzed and Taihu Lake was divided into area with low variability and area with high variability. The quadratic polynomial (R2=0.8709) and linear (R2=0.7387) correlation was established. Finally, the obtained relationship between chla concentration estimate at different spatial scales were applied to correct the estimate from MODIS data.
{"title":"Spatial scale of chlorophyll-a concentration in Lake Taihu by using remote sensing images","authors":"Y. Bao, Q. Tian","doi":"10.1117/12.910421","DOIUrl":"https://doi.org/10.1117/12.910421","url":null,"abstract":"Chlorophyll-a concentration is one of the most important indexes of Lake Eutrophication. Fine temporal and spatial resolution remote sensing images provide an effective way to monitor blue-green algae in Lake Taihu by studying the spatial distribution regularities of chla concentration. However, both low spatial resolution remote sensing images (e.g. MODIS) due to their heterogeneity and high or moderate spatial resolution remote sensing images (e.g. TM/ETM+) due to their low temporal resolution give rise to unsatisfactory estimate of chla concentration. Therefore, in this study, an effective method for estimating chla concentration using remote sensing images at different scales was developed. Chla concentration was inferred from Hyperion images at 30m resolution and MODIS images at 250m resolution. The spatial variability of Chla concentration was analyzed and Taihu Lake was divided into area with low variability and area with high variability. The quadratic polynomial (R2=0.8709) and linear (R2=0.7387) correlation was established. Finally, the obtained relationship between chla concentration estimate at different spatial scales were applied to correct the estimate from MODIS data.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124551156","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}
Zaiying Ling, Bin Zhou, Jingang Jiang, Wenjie Dou, Fangfang Zhou
Bi-directional Reflectance Distribution Function (BRDF) of water is one of the most important factors to describe the optical characteristics of ocean using Lidar. It also plays important roles in the research on remote sensing modelling and inversion. This research was based on certain assumptions, by using Monte Carlo method to track a large number of photon collisions in the water, and study on the influence of the laser beam incident zenith angle and Inherent Optical Properties of water (i.e. scattering phase function, single scattering albedo) on the water BRDF. The simulation result showed that both incident zenith angle of laser beam and IOP of water have an impact on shape and quantity of BRDF.
{"title":"Modeling the bidirectional reflectance distribution function (BRDF) of water based on Monte Carlo simulation","authors":"Zaiying Ling, Bin Zhou, Jingang Jiang, Wenjie Dou, Fangfang Zhou","doi":"10.1117/12.910368","DOIUrl":"https://doi.org/10.1117/12.910368","url":null,"abstract":"Bi-directional Reflectance Distribution Function (BRDF) of water is one of the most important factors to describe the optical characteristics of ocean using Lidar. It also plays important roles in the research on remote sensing modelling and inversion. This research was based on certain assumptions, by using Monte Carlo method to track a large number of photon collisions in the water, and study on the influence of the laser beam incident zenith angle and Inherent Optical Properties of water (i.e. scattering phase function, single scattering albedo) on the water BRDF. The simulation result showed that both incident zenith angle of laser beam and IOP of water have an impact on shape and quantity of BRDF.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115358350","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}
Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).
{"title":"A 3-dimensional polynomial model for geometric corrections of airborne SAR images","authors":"Jingjing Song, Jingjuan Liao","doi":"10.1117/12.910393","DOIUrl":"https://doi.org/10.1117/12.910393","url":null,"abstract":"Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124431691","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：