IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)最新文献

{"title":"DEM generation from new VIR sensors: IKONOS, ASTER and Landsat-7","authors":"T. Toutin","doi":"10.1109/IGARSS.2001.976698","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976698","url":null,"abstract":"DEM generation is a living R&D topic since new-launched satellite images can be used to generate stereoscopic images. Using a coplanarity equation model developed at CCRS and an automatic matching method developed at PCI, DEMs are generated with new VIR stereo data. Accuracy of 4.9 m with high-resolution IKONOS images, and 33 m and 101 m with medium-resolution ASTER and Landsat-7 ETM/sup +/ images respectively are obtained. The same matching accuracy of one-pixel is translated into worse results with Landsat due to a small B/H ratio of 0.15.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129092175","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}

{"title":"A vision for creating advanced products from EOS core system data to support geospatial applications in the State of Texas","authors":"B. Tapley, M. Crawford, T. Howard, K. Hutchison, S. Smith, G. Wells","doi":"10.1109/IGARSS.2001.976655","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976655","url":null,"abstract":"The primary goal of the Earth Observing System Data and Information System (EOSDIS) and Texas Data Products Synergy Phase I Program, also known as Synergy 1, was to assess the value of EOS Core System (ECS) and CSR data and products for meeting the remotely-sensed data requirements of the Texas geographic information system (GIS) community. A key program effort was to integrate data and products derived from satellite-based sensors that routinely collect data at relatively coarse spatial resolutions with higher resolution data acquired less frequently to create useful products designed for the large and diverse GIS community within Texas state government. The vertical integration of ECS and CSR data and products with State of Texas geospatial data products may support the remote sensing requirements for a number of regional applications including hazards monitoring, drought management, land use planning, estuary management, agricultural productivity, and forestry. The system that offers integrated ECS, CSR, and State of Texas data and data products via the Internet is currently named the \"Texas InfoMart.\" The Texas InfoMart is designed to serve geospatial data products to a community with diverse technical and computational capabilities. The Texas InfoMart will give \"high-end\" users the tools to access any data set in the archive in near real-time to support emergency management operations. It will offer the average user access to large operational data sets for image processing and analysis in support of natural resource management. The Texas InfoMart web site will also allow \"low-end\" users to view and retrieve pre-packaged data products routinely updated by CSR staff as required by the user community. This paper presents an overview of the system architecture developed under Synergy I that will be implemented in a prototype InfoMart during the next phase of the project, Synergy II.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129283030","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}

{"title":"Imaging and inversion of buried objects using GPR","authors":"P. M. van den Berg, A. Abubakar, N. Budko, R. Remis","doi":"10.1109/IGARSS.2001.976850","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976850","url":null,"abstract":"The problem of detection of a buried object is formulated as an electromagnetic inverse scattering problem, using algorithms of increasing complexity. Our first approach consists of a back-projection of the measured data and this imaging algorithm enables the location of the suspicious areas, where further investigation is needed. The second approach is effective inversion, where a domain of interest is selected and an effective permittivity and conductivity inside the domain is computed using either a linear or a nonlinear optimization scheme. In our third approach we aim to invert the spatial distribution of the permittivity and conductivity inside the domain of interest. We employ either a linearized inversion scheme based on the Born approximation or a full non-linearized inverse method based on the contrast source inversion (CSI) method.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599111","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}

{"title":"Independent component analysis for sea ice SAR image classification","authors":"J. Karvonen, M. Simila","doi":"10.1109/IGARSS.2001.976810","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976810","url":null,"abstract":"Independent component analysis (ICA) is used to compute sets of basis vectors for image data, i.e. for small randomly selected image windows. From these basis vectors a smaller set is selected to be used in classifying sea ice SAR images. A SAR image window is classified based on its projection to the selected basis vectors.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123825037","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}

{"title":"Repeat pass SAR interferometry at VHF band","authors":"A. Wilkinson, R. Lord, M. R. Inggs","doi":"10.1109/IGARSS.2001.976077","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976077","url":null,"abstract":"The South African SAR system (SASAR) has flown a number of repeat pass interferometry flights, and this paper reports on the results achieved to date with the system. The flight geometry, data acquisition and processing are described, and examples of interferograms are shown. This paper also shows simulations of fringe patterns obtained from an interferogram simulator developed in the UCT Radar Remote Sensing Group. The simulated fringes obtained from a DEM are compared to those obtained from the real SAR data.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123819323","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}

{"title":"Cryospheric applications of MISR data","authors":"A. Nolin, J. Stroeve, T. Scambos, F. Fetterer","doi":"10.1109/IGARSS.2001.976798","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976798","url":null,"abstract":"This work is a demonstration of potential uses of combined multiangle and multispectral remote sensing imagery for mapping and characterizing seasonal snow cover, sea ice, and ice sheet surfaces. We use data from the Multiangle Imaging Spectroradiometer (MISR) and demonstrate how multiangle data can augment multispectral mapping in unique and valuable ways.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123851431","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}

{"title":"Development of multistage procedures for quantifying the biomass, structure and community composition of Australian woodlands using polarimetric radar and optical data","authors":"R. Lucas, P. Tickle, C. Witte, A. Milne","doi":"10.1109/IGARSS.2001.976842","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976842","url":null,"abstract":"Focusing on woodlands in Queensland, Australia, this paper outlines a multi-stage approach to quantifying and scaling-up field-based measurements of vegetation structure, biomass and community composition to the landscape. The approach utilises remotely sensed data from a range of instruments (including SAR, hyperspectral and lidar) operating at different spatial and spectral resolutions. The research is anticipated to benefit the calculation of greenhouse gas emissions, conservation of biodiversity, and sustainable utilisation of woodlands in Australia.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123856629","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}

{"title":"House management for land use enforcement at a watershed using a self-developed and Web-based GIS","authors":"Yan Chang, S. Tai, Der-Ren Song, Shiow-Feng Liu, Mu-Lin Wu","doi":"10.1109/IGARSS.2001.977921","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.977921","url":null,"abstract":"Every house at Taipei Water Resource District is subject to land use enforcement in order to protect a water resource district. More than 5300 houses have been investigated and their site maps and household attributes have been created in the database at Taipei Water Resource Management Commission (TWMC). According to the law, every house has its own zoning code and when it was built is the critical component for strict land use enforcement. A self-developed GIS was written in visual BASIC to provide basic GIS functions and special functions for house management. Inquiry about a given house can be performed according to several different conditions of the household attributes. A house site map can be extracted on a color monitor for instant review. The x and y coordinates given by a palm-size GPS device can be input into a personal computer. Then the GIS can extract all relevant maps where this particular point locates. Further examination of the house can be performed right away and what kind of land use categories can be issued as well. Database manipulation is performed by SQL and all map formats are stored as a text-based vector format, scalable vector graphics (SVG). House management at TWMC can be performed in web browsers. The GIS provides simplicity and interactivity such that some functions of the house management can be open in Internet for general public.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123890349","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}

{"title":"Polarimetric edge detector based on the complex Wishart distribution","authors":"H. Skriver, J. Schou, A. Nielsen, K. Conradsen","doi":"10.1109/IGARSS.2001.978286","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.978286","url":null,"abstract":"A new edge detector for polarimetric SAR data has been developed. The edge detector is based on a newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic. The new polarimetric edge detector provides a constant false alarm rate and it utilizes the full polarimetric information. The edge detector has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR. The results show clearly an improved edge detection performance for the full polarimetric detector compared to single channel approaches.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124036158","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}

{"title":"Evaluation of the Tree Identification and Delineation Algorithm (TIDA) using a forest canopy simulation model","authors":"D. Culvenor","doi":"10.1109/IGARSS.2001.976633","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976633","url":null,"abstract":"The automated Tree Identification and Delineation Algorithm (TIDA), developed for application to high spatial resolution digital imagery of Australian native eucalypt forest, was evaluated with respect to forest structural variables and remote sensing conditions using a forest scene simulation model. Results indicate that TIDA is most suited to application in forests with high canopy cover and high crown cover. The structural complexity of forest canopies, represented by the diameter and overlap of tree crowns and tree height, had a relatively small impact on TIDA performance. A small phase angle between the sun and sensor produced optimum TIDA performance when both canopy and crown cover was high. As crown or canopy cover decreased, high solar zenith angles yielded superior TIDA results by decreasing the brightness of the background relative to the canopy and improving the identification of tree peaks. For both dense and sparse canopies, back-scattered radiation from the canopy was preferable. Imagery acquired under an optically thick atmosphere was found to increase TIDA performance by strengthening of the relationship between geometric and radiometric crown shape.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124207795","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}