Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5649994
A. Gademer, B. Petitpas, Samira Mobaied, L. Beaudoin, B. Riera, M. Roux, J. Rudant
Monitoring vegetation dynamics is a very important task for biodiversity conservation, especially in the Global Change context where many natural habitats are threatened with extinction or reduced to small areas. Remote sensing (aerial or spatial) has played a key role in this monitoring for years. With space imagery, the main limitation is actually due to the metric resolution which is not well adapted for estimating the processes of changes occurring in areas where the number species, visible only in few places, is shrinking, like in the heathland habitat in Fontainebleau Forest case. For aerial imagery, the main problem is the cost of a specific mission or the availability of the plane or the pilot. We propose in this article another solution: the use of a home-made Unmanned Vertical Take Off and Landing Aerial System, which is a good compromise between the spatial and aerial solutions, and test the validity and the robustness of the tools developed for the management of natural habitat on a specific area of the Fontainebleau Forest.
{"title":"Developing a lowcost Vertical Take Off and Landing Unmanned Aerial System for centimetric monitoring of biodiversity the Fontainebleau Forest case","authors":"A. Gademer, B. Petitpas, Samira Mobaied, L. Beaudoin, B. Riera, M. Roux, J. Rudant","doi":"10.1109/IGARSS.2010.5649994","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649994","url":null,"abstract":"Monitoring vegetation dynamics is a very important task for biodiversity conservation, especially in the Global Change context where many natural habitats are threatened with extinction or reduced to small areas. Remote sensing (aerial or spatial) has played a key role in this monitoring for years. With space imagery, the main limitation is actually due to the metric resolution which is not well adapted for estimating the processes of changes occurring in areas where the number species, visible only in few places, is shrinking, like in the heathland habitat in Fontainebleau Forest case. For aerial imagery, the main problem is the cost of a specific mission or the availability of the plane or the pilot. We propose in this article another solution: the use of a home-made Unmanned Vertical Take Off and Landing Aerial System, which is a good compromise between the spatial and aerial solutions, and test the validity and the robustness of the tools developed for the management of natural habitat on a specific area of the Fontainebleau Forest.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117107580","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}
Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition at the last calculation. The experimental results demonstrate that it provides good performance both in processing speed and image fusion quality.
{"title":"A simplified image fusion technique with sensor spectral response","authors":"Qiang-feng Zhou, P. Gong, Ziqi Guo, Caixia Liu, Wei Fu, Baogang Zhang","doi":"10.1109/IGARSS.2010.5648857","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5648857","url":null,"abstract":"Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition at the last calculation. The experimental results demonstrate that it provides good performance both in processing speed and image fusion quality.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117195931","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653057
W. Yuan, Q. Qin, S. Du, Xinyi Shen, Hong-bo Jiang, Yan Ma, Shixiong Liu
This study wants to demonstrate that two different polarimetric target decomposition methods can improve SAR data accuracy for estimating the parameters of bare soil surface. To achieve this goal, two experiments are conducted: (1) both Freeman and Cloude decomposition methods are performed on JPL/AIRSAR L-band fully polarimetric data; and (2) Advanced Integral Equation Model (AIEM) is used to simulate backscatting coefficients. The root mean square errors (RMSEs) of σ0hh, σ0vv between original data and AIEM simulated data are 1.96 and 1.25 dB. However, if Cloude method is used to decompose original data, the RMSEs will be reduced to 1.45 and 1.14dB, respectively; for Freeman method, the RMSEs are 1.64 and 1.35 dB. Therefore, polarimetric target decomposition compensation, especially Cloude method, can help to improve the accuracy of SAR data for estimating the parameters of bare soil surface.
{"title":"Decomposition methods for the estimation of bare soil surface parameters using fully polarimetric SAR data 1","authors":"W. Yuan, Q. Qin, S. Du, Xinyi Shen, Hong-bo Jiang, Yan Ma, Shixiong Liu","doi":"10.1109/IGARSS.2010.5653057","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653057","url":null,"abstract":"This study wants to demonstrate that two different polarimetric target decomposition methods can improve SAR data accuracy for estimating the parameters of bare soil surface. To achieve this goal, two experiments are conducted: (1) both Freeman and Cloude decomposition methods are performed on JPL/AIRSAR L-band fully polarimetric data; and (2) Advanced Integral Equation Model (AIEM) is used to simulate backscatting coefficients. The root mean square errors (RMSEs) of σ0hh, σ0vv between original data and AIEM simulated data are 1.96 and 1.25 dB. However, if Cloude method is used to decompose original data, the RMSEs will be reduced to 1.45 and 1.14dB, respectively; for Freeman method, the RMSEs are 1.64 and 1.35 dB. Therefore, polarimetric target decomposition compensation, especially Cloude method, can help to improve the accuracy of SAR data for estimating the parameters of bare soil surface.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121249467","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653127
Sami Benzid, Charles Deledalles, R. Abdelfattah, F. Chaabane, F. Tupin
In the literature, several works are led around the radar images especially the detection of the cartographic objects, the 3D reconstruction and the change detection. Concerning this last application, several techniques compete to ensure the best possible result. In this paper, we aim first at developing an automatic detection procedure to compare between similarity measures. Then we propose a change detection technique based on the fusion of two similarity measures. The first one is the Contrast (C) measure [1] and the second one is the Rayleigh Distribution Ratio (RDR) measure [2]. The proposed method has been validated on simulated data and then applied on three radar images.
{"title":"Change detection in a multitemporal series of radar images","authors":"Sami Benzid, Charles Deledalles, R. Abdelfattah, F. Chaabane, F. Tupin","doi":"10.1109/IGARSS.2010.5653127","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653127","url":null,"abstract":"In the literature, several works are led around the radar images especially the detection of the cartographic objects, the 3D reconstruction and the change detection. Concerning this last application, several techniques compete to ensure the best possible result. In this paper, we aim first at developing an automatic detection procedure to compare between similarity measures. Then we propose a change detection technique based on the fusion of two similarity measures. The first one is the Contrast (C) measure [1] and the second one is the Rayleigh Distribution Ratio (RDR) measure [2]. The proposed method has been validated on simulated data and then applied on three radar images.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127135780","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5651553
Juan I. Nieto, S. Monteiro, D. Viejo
This paper presents a ground based system for mapping the geology and the geometry of the environment remotely. The main objective of this work is to develop a framework for a mobile robotic platform that can build 3D geological maps. We investigate classification and registration algorithms that can work without any manual intervention. The system capabilities are demonstrated with data acquired from a working mine environment. Geological maps are built by applying classification techniques to hyperspectral images of the rocks' surface. The result from the classification is then fused with laser images to form the 3D geological models of the environment.
{"title":"3D geological modelling using laser and hyperspectral data","authors":"Juan I. Nieto, S. Monteiro, D. Viejo","doi":"10.1109/IGARSS.2010.5651553","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651553","url":null,"abstract":"This paper presents a ground based system for mapping the geology and the geometry of the environment remotely. The main objective of this work is to develop a framework for a mobile robotic platform that can build 3D geological maps. We investigate classification and registration algorithms that can work without any manual intervention. The system capabilities are demonstrated with data acquired from a working mine environment. Geological maps are built by applying classification techniques to hyperspectral images of the rocks' surface. The result from the classification is then fused with laser images to form the 3D geological models of the environment.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127471370","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5652401
E. Pottier
The objective of this paper is to make a review of the current status of the PolSARpro v4.0 Software (Polarimetric SAR Data Processing and Educational Toolbox), developed under contract to ESA. The objective of this current project is to provide Educational Software that offers a tool for self-education in the field of Polarimetric SAR data analysis at University level and a comprehensive suite of functions for the scientific exploitation of fully and partially polarimetric multi-data sets and the development of applications for such data. The PolSARpro v4.0 Software establishes a foundation for the exploitation of Polarimetric techniques for scientific developments and stimulates research and applications developments using PolSAR and PolInSAR data.
{"title":"Recent advances in the development of the open source Toolbox for Polarimetric and Interferometric Polarimetric SAR Data Processing: The PolSARpro v4.1.5 Software","authors":"E. Pottier","doi":"10.1109/IGARSS.2010.5652401","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652401","url":null,"abstract":"The objective of this paper is to make a review of the current status of the PolSARpro v4.0 Software (Polarimetric SAR Data Processing and Educational Toolbox), developed under contract to ESA. The objective of this current project is to provide Educational Software that offers a tool for self-education in the field of Polarimetric SAR data analysis at University level and a comprehensive suite of functions for the scientific exploitation of fully and partially polarimetric multi-data sets and the development of applications for such data. The PolSARpro v4.0 Software establishes a foundation for the exploitation of Polarimetric techniques for scientific developments and stimulates research and applications developments using PolSAR and PolInSAR data.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124816108","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5652128
K. Scipal, W. Dorigo, R. Jeu
Recently Triple Collocation (TC) was adopted for soil moisture application. Results from a first application indicated that the method could be useful to estimate global error patterns. Here we test the method with new data sets. The results show that the method is robust and that it allows to derive objective error estimates.
{"title":"Triple collocation — A new tool to determine the error structure of global soil moisture products","authors":"K. Scipal, W. Dorigo, R. Jeu","doi":"10.1109/IGARSS.2010.5652128","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652128","url":null,"abstract":"Recently Triple Collocation (TC) was adopted for soil moisture application. Results from a first application indicated that the method could be useful to estimate global error patterns. Here we test the method with new data sets. The results show that the method is robust and that it allows to derive objective error estimates.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125001668","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5650173
Adrian S. Barb, C. Shyu
With recent technological advances, the geospatial industry produces digital image data at an astonishing rate. Such large amounts of data need to be analyzed for visual content in a timely fashion. For in-depth analysis of the geospatial there is a need to find efficient methods to process the visual information into actionable knowledge. One of the most promising methods is to evaluate the relevance of geospatial images to domain-specific visual semantics. Most of existing methods for annotating semantic meaning to geospatial images are trained using binary feedback from users. Such approaches may lead to suboptimal models especially due to the fact that semantic relevance of images is rarely a binary problem. In this paper, we report an algorithm to link low-level image features with high-level visual semantics using graded relevance feedback from image analysts. This linkage is done using flexible possibility functions that mathematically model the existence of visual semantics in new images added to the database. Our experimental results show that our technique improves the knowledge discovery process as evidenced by increased mean average precision of semantic queries.
{"title":"Visual information mining and ranking using graded relevance assessments in satellite image databases","authors":"Adrian S. Barb, C. Shyu","doi":"10.1109/IGARSS.2010.5650173","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650173","url":null,"abstract":"With recent technological advances, the geospatial industry produces digital image data at an astonishing rate. Such large amounts of data need to be analyzed for visual content in a timely fashion. For in-depth analysis of the geospatial there is a need to find efficient methods to process the visual information into actionable knowledge. One of the most promising methods is to evaluate the relevance of geospatial images to domain-specific visual semantics. Most of existing methods for annotating semantic meaning to geospatial images are trained using binary feedback from users. Such approaches may lead to suboptimal models especially due to the fact that semantic relevance of images is rarely a binary problem. In this paper, we report an algorithm to link low-level image features with high-level visual semantics using graded relevance feedback from image analysts. This linkage is done using flexible possibility functions that mathematically model the existence of visual semantics in new images added to the database. Our experimental results show that our technique improves the knowledge discovery process as evidenced by increased mean average precision of semantic queries.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025325","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5649446
Lu Zhang, Huadong Guo, Xinyuan Wang, Xinwu Li, Linlin Lu
Inland lakes in the arid and semi-arid areas are sensitive to the climate change and human activities, The long time-series remote sensing data, with a capability to provide valuable information of the distribution and changes of inland water bodies, have become an effective tool for lake study. In this paper, the lakes in Ejin alluvial fan, located in a typical arid region in the west of Inner Mongolia, China, are chosen as study lakes. Twenty years period TM data are used to obtain the long time-series and continental information of the lake change from 1987 to 2008. Climate data and hydrological data are also collected for correlational study. The results show that 1) in latest 20 years, the total area of the studied lakes in Ejin alluvial fan reduced firstly then increased after 2000. 2) The area changes of the four lakes are different. 3) Both the environmental change and the man-kind factors are the drivers of the lake change in Ejin alluvial fan. The latter might exert a main influence.
{"title":"Research on the lakes change in Ejin alluvial fan from long time-series landsat images","authors":"Lu Zhang, Huadong Guo, Xinyuan Wang, Xinwu Li, Linlin Lu","doi":"10.1109/IGARSS.2010.5649446","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649446","url":null,"abstract":"Inland lakes in the arid and semi-arid areas are sensitive to the climate change and human activities, The long time-series remote sensing data, with a capability to provide valuable information of the distribution and changes of inland water bodies, have become an effective tool for lake study. In this paper, the lakes in Ejin alluvial fan, located in a typical arid region in the west of Inner Mongolia, China, are chosen as study lakes. Twenty years period TM data are used to obtain the long time-series and continental information of the lake change from 1987 to 2008. Climate data and hydrological data are also collected for correlational study. The results show that 1) in latest 20 years, the total area of the studied lakes in Ejin alluvial fan reduced firstly then increased after 2000. 2) The area changes of the four lakes are different. 3) Both the environmental change and the man-kind factors are the drivers of the lake change in Ejin alluvial fan. The latter might exert a main influence.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125089836","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653279
L. Di, Genong Yu, Yuanzheng Shao, Yuqi Bai, M. Deng, K. McDonald
The Global Earth Observation System of Systems (GEOSS) is a new international effort to provide an integrated system on top of the distributed, diverse legacy systems to create an open, public infrastructure for worldwide Earth observation research and applications. One key approach for enabling GEOSS is that legacy systems must support GEOSS-endorsed public standards. This paper presents a case study consisting of providing a persistent data customization service through the OGC Web Coverage Service (WCS) protocol and a data discovery service through the OGC Catalog Service-Web Profile (CSW) protocol for NOAA GOES data. These two services talk to the legacy NOAA data systems on the back end, and provide open standards-compliant interfaces on the front end. These two service prototypes make NOAA GOES data queryable and accessible in GEOSS to serve different societal benefit areas (SBA). The lessons learned may be useful to others in upgrading legacy data systems to support open standards.
{"title":"Persistent WCS and CSW services of GOES data for GEOSS","authors":"L. Di, Genong Yu, Yuanzheng Shao, Yuqi Bai, M. Deng, K. McDonald","doi":"10.1109/IGARSS.2010.5653279","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653279","url":null,"abstract":"The Global Earth Observation System of Systems (GEOSS) is a new international effort to provide an integrated system on top of the distributed, diverse legacy systems to create an open, public infrastructure for worldwide Earth observation research and applications. One key approach for enabling GEOSS is that legacy systems must support GEOSS-endorsed public standards. This paper presents a case study consisting of providing a persistent data customization service through the OGC Web Coverage Service (WCS) protocol and a data discovery service through the OGC Catalog Service-Web Profile (CSW) protocol for NOAA GOES data. These two services talk to the legacy NOAA data systems on the back end, and provide open standards-compliant interfaces on the front end. These two service prototypes make NOAA GOES data queryable and accessible in GEOSS to serve different societal benefit areas (SBA). The lessons learned may be useful to others in upgrading legacy data systems to support open standards.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125133546","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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