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[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium最新文献

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An Algorithm for the Reconstruction of Pressure Fields from Scatterometer Data 基于散射计数据的压力场重建算法
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578327
A. Bartoloni, C. D'Amelio, F. Zirilli
{"title":"An Algorithm for the Reconstruction of Pressure Fields from Scatterometer Data","authors":"A. Bartoloni, C. D'Amelio, F. Zirilli","doi":"10.1109/IGARSS.1992.578327","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578327","url":null,"abstract":"Wind vector fields on the sea surface may be obtained processing data of a spaceborne scatterometer such as the ERS-1 scatterometer. From these wind vector fields it is possible to compute the corresponding pressure fields on the sea surface. The procedure that computes the pressure fields proposed here is based on a simplified version of the Navier-Stokes equations. The knowledge of the pressure fields on the sea surface is of great relevance in weather prediction models.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121997501","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
Development Of Soil Moisture Retrieval Algorithm For L-band Sar Measurements l波段Sar测量中土壤水分反演算法的发展
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.576750
Jiancheng Shi, J. V. Van Zyl, J. V. Soares, E. Engman
{"title":"Development Of Soil Moisture Retrieval Algorithm For L-band Sar Measurements","authors":"Jiancheng Shi, J. V. Van Zyl, J. V. Soares, E. Engman","doi":"10.1109/IGARSS.1992.576750","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.576750","url":null,"abstract":"A study of algorithm development and testing for soil moisture retrieval for bare fields using L-band synthetic aperture radar (SAR) imagery is reported. First-order surface scattering models predict that the copolarization ratio is sensitive to soil moisture but not to surface roughness. All possible ratios of the co-polarization signals and their linear combinations are evaluated. The best sensitivity to soil moisture is achieved from measurements as predicted by the first-order surface scattering model. The effects of system noise and volume scattering of soil are evaluated. To minimize the effect of the volume scattering, an algorithm which includes both the surface and volume scattering has been developed and tested using Jet Propulsion Laboratory Airborne SAR (JPL AIRSAR) data. The results show that the estimation of soil moisture can be improved after removing the system noise and including the volume scattering effect at large incidence angles.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139303","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: 16
AN INFORMATION THEORY APPROACH FOR EVALUATING EARTH RADIATION BUDGET ERB1 MEASUREMENTS:NONUNIFORM SAMPLING OF REFLECTED SHORT WAVE RADIATION 评价地球辐射收支erb1测量值的信息论方法:反射短波辐射的非均匀采样
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578659
B. Barkstrom, H. Direskeneli, N. Halyo
{"title":"AN INFORMATION THEORY APPROACH FOR EVALUATING EARTH RADIATION BUDGET ERB1 MEASUREMENTS:NONUNIFORM SAMPLING OF REFLECTED SHORT WAVE RADIATION","authors":"B. Barkstrom, H. Direskeneli, N. Halyo","doi":"10.1109/IGARSS.1992.578659","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578659","url":null,"abstract":"An information theory approach to examine the temporal nonuniform sampling characteristics of shortwave (SW) flux for earth radiation budget (ERB) measurements is suggested. The information gain is computed by computing the information content before and after the measurements. A stochastic diurnal model for the SW flux is developed, and measurements for different orbital parameters are examined. The methodology is applied to specific NASA Polar platform and Tropical Rainfall Measuring Mission (TRMM) orbital parameters. The information theory approach, coupled with the developed SW diurnal model, is found to be promising for measurements involving nonuniform orbital sampling characteristics.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124776592","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
Automated Measurement Of Polarized Bidirectional Reflectance For Qualification Of Minerals And Oxide Coatings 用于矿物和氧化物涂层鉴定的偏振双向反射率的自动测量
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.576755
D. Gibbs, C. Betty, A. Fung, J. Irons
{"title":"Automated Measurement Of Polarized Bidirectional Reflectance For Qualification Of Minerals And Oxide Coatings","authors":"D. Gibbs, C. Betty, A. Fung, J. Irons","doi":"10.1109/IGARSS.1992.576755","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.576755","url":null,"abstract":"An Automated Bidirectional Reflectance Measurement System (ABRAMS) has been constructed to facilitate measurement of polarized bidirectional reflectance from soil and vegetative samples in the laboratory. The system illuminates a sample with linearly-polarized laser light of wavelength h=632.8 nm, and is capable of synchronously detecting both the likeand crosspolarized scattered intensities at discrete angles spanning half a hemisphere. The measured scattering coefficient and bidirectional reflectance factor for both like and cross polarizations are shown for several particulate samples in the backscattering and forwardscattering directions. In particular, samples of uncoated quartz (translucent) and pyrolusite-coated quartz (opaque) exhibited high and low, respectively, levels of cross polarization. Results indicate that polarization information in the plane of incident is useful for inferring characteristics regarding the surface and volume of a target. A high level of cross polarization, for example, indicates that significant multiple scattering is occurring; this is due primarily to the volume of the target since surface depolarization effects are minimal in the plane of incidence.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129905419","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: 1
Feature Selection For Neural Networks Using Parzen Density Estimator 基于Parzen密度估计的神经网络特征选择
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578271
Chulhee Lee, J. Benediktsson, D. Landgrebe
{"title":"Feature Selection For Neural Networks Using Parzen Density Estimator","authors":"Chulhee Lee, J. Benediktsson, D. Landgrebe","doi":"10.1109/IGARSS.1992.578271","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578271","url":null,"abstract":"A feature selection method for neural networks is proposed using the Parzen density estimator. A new feature set is selected using the decision boundary feature selection algorithm. The selected feature set is then used to train a neural network. Using a reduced feature set, an attempt is made to reduce the training time of the neural network and obtain a simpler neural network, which further reduces the classification time for test data.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421873","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: 6
Robustness of Spann-Wilson Segmentation on Sar Imagery Sar图像span - wilson分割的鲁棒性
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578285
J. Daida, J. Vesecky
{"title":"Robustness of Spann-Wilson Segmentation on Sar Imagery","authors":"J. Daida, J. Vesecky","doi":"10.1109/IGARSS.1992.578285","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578285","url":null,"abstract":"Previous studies have demonstrated that the Spann- Wilson algorithm has desirable quantities in segmenting noisy and textured images. However, the Spann-Wilson algorithm was originally tested for use with additive, and not multi- plicative, noise. Few works have systematically addressed the quantitative performance of this algorithm with speckle. This paper briefly describes the performance of this algorithm on simulated SAR images with varying degrees of speckle (one- to four-looks and varying amounts of white noise). One hun- dred forty-eight test images were considered, of which the al- gorithm segmented most without any adjustment to the algo- rithm's parameters.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128428490","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
The Operational Ers-1 Sar Processing System At The German Paf 德国空军作战用Ers-1 Sar处理系统
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.576797
W. Noack, B. Schattler, H. Wllhelms, M. Elneder
{"title":"The Operational Ers-1 Sar Processing System At The German Paf","authors":"W. Noack, B. Schattler, H. Wllhelms, M. Elneder","doi":"10.1109/IGARSS.1992.576797","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.576797","url":null,"abstract":"This paper describes the concepts and the layout of the operational Multisensor S A R Processin System (MSAR) of the German Processing and Archiving Fachty (D-PAF) for ERS-1. MSAR is a comprehensive and complete new software system with functions for HDDT screening, transcription, precision processing and archiving of SAR data. It is supporting many services required by the user community with respect to man different SAR product types in short turn around times inc ldng report generation for quality and archival purposes. All products are archived for long-term storage on archival optical disk. It is a heterogeneous software and hardware system written in Ada, C and FORTRAN. The software for monitoring and control, screening and transcri tion has been designed using an objectoriented method (HOBD). In the development many teams have been involved including support from industry. The hardware consists of SUN and DEC com uters with several array-processors, workstations, different higf density digital tape recorders, frame synchronisers and other special electronics.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128185074","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: 4
The Trees Project : Creating an Environment for the Routine Classification and Image Processing of Ers-1 Sar Imagery 树木项目:为Ers-1 Sar图像的常规分类和图像处理创建环境
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578448
H. de Groof, A. Sowter, A. Sieber
{"title":"The Trees Project : Creating an Environment for the Routine Classification and Image Processing of Ers-1 Sar Imagery","authors":"H. de Groof, A. Sowter, A. Sieber","doi":"10.1109/IGARSS.1992.578448","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578448","url":null,"abstract":"This paper presents the TREES project and the functional design of a processing system under development at the JRC-Ispra. Synthetic aperture radar (SAR) data from the ERS-1 mission will be delivered to the project and the classification and image prbcessing of each scene will be performed at the CEC facilities at Ispra. The major functional blocks refer to geolocation, geocoding and classification.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089530","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: 1
Ocean Wind Vector Measurements By The Rotating Antenna C-band Scatterometer During The Ers-1 利用旋转天线c波段散射计测量Ers-1期间的海风矢量
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.576809
V. Wismann
{"title":"Ocean Wind Vector Measurements By The Rotating Antenna C-band Scatterometer During The Ers-1","authors":"V. Wismann","doi":"10.1109/IGARSS.1992.576809","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.576809","url":null,"abstract":"The First European Remote Sensing Satellite (ERS-1) was launched from Korou, French-Guyana, on July 17, 1991. A geophysical calibration and validation of the Active Microwave Instrument (AMI) aboard the ERS-1 was performed in the Norwegian Sea in the period from September 15 to December 10, 1991. A total of 46 underflights of the ERS-1 satellite were performed with the Rotating Antenna C-band Scatterometer (RACS) of the University of Hamburg. The instrument was operated aboard a Donier Do-228 aircraft of the German Aerospace Research Establishment (DLR) in order to measure the normalized radar cross section (NRCS) of the ocean surface from which the wind speed U1oneutral was infered. Wind measurements were also performed by wind sensors on 10 buoys, 3 research vessels and 2 aircrafts. A good agreement was found between most of the wind measurements. The data set obtained during this experiment is being used for tuning the prelaunch wind retrieval algorithm for the ERS-1 scatterometer.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544933","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
Tropical Vegetation Mappjng with Combined Visible and Sar Spaceborne Data 结合可见光和Sar星载数据的热带植被制图
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium Pub Date : 1992-05-26 DOI: 10.1109/IGARSS.1992.578321
E. Nezry, E. Mougin, A. Lopes, J. Gastellu-Etchegorry, F. Zagolski, Y. Laumonier
{"title":"Tropical Vegetation Mappjng with Combined Visible and Sar Spaceborne Data","authors":"E. Nezry, E. Mougin, A. Lopes, J. Gastellu-Etchegorry, F. Zagolski, Y. Laumonier","doi":"10.1109/IGARSS.1992.578321","DOIUrl":"https://doi.org/10.1109/IGARSS.1992.578321","url":null,"abstract":"Within the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using both visible and microwave spaceborne data. In the present study, Shuttle Imaging Radar (SIR-B) data and SPOT data acquired over central Sumatra are used in a supervised classification of vegetation. Emphasis is put on SAR data utilization. Assessment of SAR data potentialities is carried out by using (1) SIR-B imagery alone, and (2) combined SJR-B and SPOT data. The article describes the methodology developed for exploiting the SIR-B image including raw data analysis, image filtering and image classification. Finally, combined filtered SIR-B imagery and SPOT data are used jointly in a supervised classification leading to a better discrimination of surface units. These results indicate the unique capabilities of combined visible and SAR data for monitoring tropical vegetation, especially for forest/non-forest discrimination.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129106584","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
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