IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium最新文献_第3页

A lightweight Spectrasat concept for global ocean wave monitoring 用于全球海浪监测的轻型光谱卫星概念

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516595

R. Beal, D. Kusnierkiewicz, J. MacArthur, F. Monaldo, S. F. Oden

{"title":"A lightweight Spectrasat concept for global ocean wave monitoring","authors":"R. Beal, D. Kusnierkiewicz, J. MacArthur, F. Monaldo, S. F. Oden","doi":"10.1109/IGARSS.1996.516595","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516595","url":null,"abstract":"For more than two decades, spaceborne SAR has been advocated as a practical means of monitoring directional ocean wave spectra. Seasat, ERS-1 and -2, JERS-1, Almaz, the Shuttle Imaging Radars A, B, and C, and most recently Radarsat have all carried SARs that have been or are being used to monitor the spatial evolution of wind-driven waves, with the hope (or promise) of improving storm prognosis. Yet it has been well known for more than a decade that all the higher altitude platforms (Seasat, ERS-1 and -2, JERS-1, and Radarsat) suffer serious imaging problems caused by the moving ocean scatterers, which effectively act to filter along-track waves shorter than about 300 m wavelength. Nevertheless, substantial effort has been expended toward the problem of understanding the SAR transfer function, and toward optimally assimilating the SAR wave estimates into operational wave forecast models. Unfortunately, these efforts at assimilation are unlikely to yield their intended results (i.e., improved wave forecasts) without a much lower altitude operational SAR platform. The authors present the details of a possible small, low-altitude satellite remote sensing system.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125001809","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

Investigating correlations between radar data and mangrove forests characteristics 研究雷达数据与红树林特征之间的相关性

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516458

C. Proisy, E. Mougin, F. Fromard

引用次数: 5

Registration of SAR images using the chirp scaling algorithm 使用啁啾缩放算法的SAR图像配准

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516479

D. Fernandes, G. Waller, J. Moreira

引用次数: 12

A comparison of three neural network classifiers for remote sensing classification 三种神经网络分类器在遥感分类中的比较

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516475

S. Gopal, M. Fischer

{"title":"A comparison of three neural network classifiers for remote sensing classification","authors":"S. Gopal, M. Fischer","doi":"10.1109/IGARSS.1996.516475","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516475","url":null,"abstract":"This paper evaluates the use of neural network classifiers for the pattern classification problem in remote sensing. The performance of multi-layer perceptron (MLP), radial basis function, and fuzzy ARTMAP networks is evaluated using a Landsat-5 TM scene of the northern section of the city of Vienna, Austria. Classification accuracies obtained from the neural network classifiers are compared with a benchmark, the maximum likelihood classifier. In addition to the evaluation of classification accuracy, the neural networks are analyzed for their generalization capability and stability of results. Best overall results (in terms of accuracy and convergence time) are obtained using fuzzy ARTMAP followed by MLP (with weight elimination). Their classification error on the training data set are zero and 7.87% respectively; classification error on the testing data set are 10.24% and less than 2 percent. Simulation results serve to illustrate the properties of the various classifiers in general, as well as the stability of the result with respect to various critical control parameters, initial parameter conditions, training time, and different training and testing data sets.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125429068","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

Use of ERS-1 SAR data for forest monitoring in South Sumatra 利用ERS-1 SAR数据进行南苏门答腊森林监测

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516495

T. Le Toan, F. Ribbes, T. Hahn, N. Floury, U. R. Wasrin

引用次数: 4

Mapping field crop evapotranspiration using airborne multispectral imagery 利用机载多光谱图像绘制农田作物蒸散量

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516989

R. H. Ahmed, C. Neale

引用次数: 3

Land surface temperature retrieval from AVHRR: influence of surface emissivity and atmospheric water vapor AVHRR反演地表温度:地表发射率和大气水汽的影响

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516900

M.L. Steyn-Ross, D.A. Steny-Ross

引用次数: 3

C- and L-band multi-temporal polarimetric signatures of crops 作物的C波段和l波段多时相偏振特征

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516794

Henning Skrive, F. Nielsen, Anton Thomsed

引用次数: 0

Feasibility study of a compact low cost correlation LIDAR using a pseudo noise modulated diode laser and an APD in the current mode 采用伪噪声调制二极管激光器和电流模式APD的小型低成本相关激光雷达的可行性研究

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516547

B.O. Bundschuh, D. Schneider, M. Grindel

引用次数: 3

Classification of multi-source data using predictive ability measure 基于预测能力测度的多源数据分类

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516284

C. Chong, J. Jia

引用次数: 1