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IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium最新文献

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Sensitivity Analysis of a Hyperspectral Inversion Model for Remote Sensing of Shallow Coastal Ecosystems 浅海生态系统遥感高光谱反演模型的灵敏度分析
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4778802
Carolina Gerardino-Neira, J. Goodman, M. Velez-Reyes, W. Rivera
{"title":"Sensitivity Analysis of a Hyperspectral Inversion Model for Remote Sensing of Shallow Coastal Ecosystems","authors":"Carolina Gerardino-Neira, J. Goodman, M. Velez-Reyes, W. Rivera","doi":"10.1109/IGARSS.2008.4778802","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4778802","url":null,"abstract":"This paper presents a sensitivity analysis of a semi-analytical inversion model for hyperspectral remote sensing of shallow coral ecosystems. Results consistently demonstrated that the estimates of water optical parameters, bottom albedo and bathymetry are most sensitive to values assigned for two of the fixed parameters: the spectral slope of the absorption coefficient for gelbstoff; and the spectral power coefficient for calculating the backscattering coefficient. This suggests that inversion model performance can be enhanced by incorporating improved estimates for these two fixed parameters, either through more explicit physical equations or through location-specific empirical relationships.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116776977","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}
引用次数: 10
Low-Cost Multispectral Aerial Imaging using Autonomous Runway-Free Small Flying Wing Vehicles 使用自主无跑道小型飞翼飞行器的低成本多光谱航空成像
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4780140
A. Jensen, Marc Baumann, Y. Chen
{"title":"Low-Cost Multispectral Aerial Imaging using Autonomous Runway-Free Small Flying Wing Vehicles","authors":"A. Jensen, Marc Baumann, Y. Chen","doi":"10.1109/IGARSS.2008.4780140","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4780140","url":null,"abstract":"Aerial imaging has become very important to areas like remote sensing and surveying. However, it has remained expensive and difficult to obtain with high temporal and spatial resolutions. This paper presents a method to retrieve georeferenced aerial images by using a small UAV (unmanned aerial vehicle). Obtaining aerial images this way is inexpensive, easy-to-use and allows for high temporal and spatial resolutions. New and difficult problems are introduced by the small image footprint and the inherent errors from an inexpensive compact inertial measurement unit (IMU). The small image footprint prevents us from using the features from the images to help negate the errors from the IMU, which is done in conventional methods. Our method includes: using the data from the IMU to georeference the images, projecting the images on the earth and using a man-in-the-loop approach to minimize the error from the IMU. Sample results from our working system are presented for illustration.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117134278","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}
引用次数: 45
Optimal Spectral Decomposition (OSD) for Remotely Sensed Ocean Data Assimilation 遥感海洋数据同化的最优光谱分解(OSD)
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779533
P. Chu
{"title":"Optimal Spectral Decomposition (OSD) for Remotely Sensed Ocean Data Assimilation","authors":"P. Chu","doi":"10.1109/IGARSS.2008.4779533","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779533","url":null,"abstract":"Assimilation of remotely sensed ocean data (velocity, temperature, and salinity) into numerical model is of great importance in oceanic and climatic research. However, the data should be reconstructed (onto grids) before assimilation since the original datasets are usually noisy and sparse. This paper describes a recently developed optimal spectral decomposition (OSD) method for mapping and noise filtration with examples of reconstructing the data from the Argo profiling and trajectories, Ocean Surface Current Analyses - Real time (OSCAR), shore-based high-frequency (HF) Doppler radar (CODAR) and Global Temperature-Salinity Profile Program (GTSPP).","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121044652","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}
引用次数: 0
Testing and Development of a Multi-Filter Rotating Shadowband Radiometer Network for Distributed Monitoring of Aerosol Optical Depth and Fine Mode Fraction on US Northeast Region 美国东北地区气溶胶光学深度和精细模式分数分布式监测多滤光片旋转阴影带辐射计网络的测试与开发
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779990
Miguel Bustamante, F. Moshary, B. Gross, Samir A. Ahmed
{"title":"Testing and Development of a Multi-Filter Rotating Shadowband Radiometer Network for Distributed Monitoring of Aerosol Optical Depth and Fine Mode Fraction on US Northeast Region","authors":"Miguel Bustamante, F. Moshary, B. Gross, Samir A. Ahmed","doi":"10.1109/IGARSS.2008.4779990","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779990","url":null,"abstract":"Information about global distributions of aerosol optical thickness (AOT) and size categorization is necessary to quantify the aerosol radiative forcing as well as a method to monitor air-quality such as fine particulate matter. The development of suitable radiometer networks is central to this effort. Modern robotic solar instruments for retrievals of aerosols optical depth and other microphysical parameter retrievals, such as the CIMEL Sky Scanning Radiometers part of the Aeronet Network are crucial to this effort but are unfortunately quite sparse and expensive. It has been proposed that the use of more cost effective devices likes the multi-filter rotating shadow-band radiometer in a network might prove sufficient. Direct observations of the effects of aerosols are quite limited even with current advances in satellite base aerosols remote sensing.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121372806","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}
引用次数: 2
Analysis of an Urban Heat Sink using Thermal Inertia Model from ASTER Data in Beijing, China 基于ASTER数据的北京城市热惯性模型分析
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779609
G. Cai, Mingyi Du, Yong Xue, Shan Li
{"title":"Analysis of an Urban Heat Sink using Thermal Inertia Model from ASTER Data in Beijing, China","authors":"G. Cai, Mingyi Du, Yong Xue, Shan Li","doi":"10.1109/IGARSS.2008.4779609","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779609","url":null,"abstract":"More and more problems were emerged with the development of Beijing's urbanization. One of them is urban heat island (UHI) effect. Our study area is located in the central urban area of Beijing which mainly the area surrounded by the fifth ring road. During our monitoring of the UHI effect using Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, an urban heat sink was found. This paper focuses on the analysis of this urban heat sink developed in the winter morning of Beijing by detailedly analyzing the subsurface's thermal characteristics. Thermal inertia was used in thi.s paper to identify the subsurface's thermal characteristics. Thermal inertia is a physical parameter representing the ability of a material to conduct and store heat, and in the context of planetary science, it is a measure of the subsurface's ability to store heat during the day and reradiate it during the night. After getting the surface albedo and the land surface temperatures at day and night respectively, the thermal inertia was calculated using a real thermal inertia model. The result shows that the urban area has a bigger thermal inertia than that of the rural area. Which makes the materials in rural area have a rapidly increase in surface temperature then those in the urban area in winter morning which caused the formation of the urban heat sink.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127086005","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}
引用次数: 3
GeoBrain Online Resources for Supporting College-Level Data-Intensive Geospatial Science and Engineering Education 支持大学水平数据密集型地理空间科学与工程教育的GeoBrain在线资源
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779753
M. Deng, L. Di
{"title":"GeoBrain Online Resources for Supporting College-Level Data-Intensive Geospatial Science and Engineering Education","authors":"M. Deng, L. Di","doi":"10.1109/IGARSS.2008.4779753","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779753","url":null,"abstract":"Recently geospatial science and engineering has been experiencing a paradigm shift from having all data and computing resources owned locally to having them shared over the Web. This has brought both benefits and challenges to current Geospatial science and engineering education. GeoBrain, funded by NASA, has great insights to this new trend and establishes a unique Web-based data, information and knowledge system by adopting and developing latest Web service and knowledge management technologies. This system has cutting-edge capabilities in geospatial data discovery, visualization, retrieval and analysis and provides unprecedented online data, services, and other computing resources. This paper addresses the GeoBrain online resources for supporting college-level data-intensive geospatial science and engineering education by presenting GeoBrain Data Download with interoperable, personalized, on-demand data access and services (IPODAS) and the integrated GeoBrain Online Analysis System (GeOnAS).","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127108174","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}
引用次数: 8
InSAR Coherence Measurement Techniques for Snow Cover Mapping in Himalayan Region 喜马拉雅地区积雪测绘的InSAR相干测量技术
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779913
Gulab Singh, G. Venkataraman, Y. S. Rao, Vijay Kumar, Snehmani
{"title":"InSAR Coherence Measurement Techniques for Snow Cover Mapping in Himalayan Region","authors":"Gulab Singh, G. Venkataraman, Y. S. Rao, Vijay Kumar, Snehmani","doi":"10.1109/IGARSS.2008.4779913","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779913","url":null,"abstract":"Snow cover area is a very important parameter for snowmelt runoff modeling and forecasting. Snow cover information is also useful for managing transportation and avalanche forecasting. Our study area includes Gangotri glacier region, Siachen glacier region and Beaskund glacier region in the North-West Himalayas of India. Our previous studies discuss the capability of several algorithms for optical sensor as well as SAR to map the snow cover area in Himalayan regions. In recent years, the SAR interferometry has provided number of attractive applications in landuse/landcover mapping. This study discusses the capability of both backscattering ratio techniques and InSAR coherence measurement techniques for snow cover mapping in Himalayan region with repeat passes data of ERSfrac12 and ENVISAT-ASAR. By analyzing the several pairs of ENVISAT repeat passes ASAR images for the study area, we find that the coherence measurement from bare soil, bare rock and vegetation are high and snow covered area and glacier area have very low coherence except in one day difference image.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116507","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}
引用次数: 15
DSM Generation of Buildings based on Corresponding Object Constraint 基于相应对象约束的建筑物DSM生成
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779595
Shen Xinyi, Qin Qiming, Mao Haijian
{"title":"DSM Generation of Buildings based on Corresponding Object Constraint","authors":"Shen Xinyi, Qin Qiming, Mao Haijian","doi":"10.1109/IGARSS.2008.4779595","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779595","url":null,"abstract":"Common methods for DEM generation are based on collinearity equation, and rational function. Either of them require registered stereo pair as input. In order to register each point precisely, this paper proposes a corresponding image object constrained registration method based on object oriented image segmentation. Compared with current methods, the proposed method provides one geometric image transform (GIT) function for each pair of building roof because one GIT could fit well for just one roof. Object oriented segmentation not only helps us set the effective area for each GIT, but also provide us enough feature points from the boundary of a segmented building points to fit the coefficients of its GIT. The result by applying the proposed method on IKONOS stereo pair demonstrates the feasibility of generating building DSM with acceptable accuracy.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127342703","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}
引用次数: 2
Super-Resolution of Polarimetric SAR Images Based on Target Decomposition and Polarimetric Spatial Correlation 基于目标分解和极化空间相关的极化SAR图像超分辨率研究
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779143
B. Zou, Hui-cheng Hao, Xingjie Guo
{"title":"Super-Resolution of Polarimetric SAR Images Based on Target Decomposition and Polarimetric Spatial Correlation","authors":"B. Zou, Hui-cheng Hao, Xingjie Guo","doi":"10.1109/IGARSS.2008.4779143","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779143","url":null,"abstract":"Polarimetric SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and polarimetric spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127462150","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}
引用次数: 9
The PRISMA Program 棱镜计划
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2008-07-07 DOI: 10.1109/IGARSS.2008.4779667
C. Galeazzi, A. Sacchetti, A. Cisbani, G. Babini
{"title":"The PRISMA Program","authors":"C. Galeazzi, A. Sacchetti, A. Cisbani, G. Babini","doi":"10.1109/IGARSS.2008.4779667","DOIUrl":"https://doi.org/10.1109/IGARSS.2008.4779667","url":null,"abstract":"In the framework of its activities in the field of Earth Observation, the Italian Space Agency (ASI) in 2007 have started the design, development and deployment of the PRISMA mission. PRISMA (PRecursore IperSpettrale della Missione Operativa) is the follow-on of previous programmes, either national (HypSeo, phase A/B) or international (JHM phase A, in cooperation with Canada) devoted to establish requirements, technologies and conceptual design of a satellite remote sensing hyperspectral mission. The program is completely funded by ASI until the completion of system on-orbit commissioning. The selected industrial consortium includes all the key national industries, which have already acquired specific know-how and expertise. The mission will provide worldwide access, with a specific area of interest covering the whole European and Mediterranean region. Hyperspectral data will help to efficiently address the selected applications, such as those related to quality and protection of the environment, sustainable development, climate change, strong economy; according to its \"public good\" nature, PRISMA will focus on the needs of the Italian institutional and research entities.","PeriodicalId":237798,"journal":{"name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127482697","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}
引用次数: 56
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