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检索条件"任意字段=Proceedings of the 1995 International Workshop on Soft Computing in Remote Sensing Data Analysis"
11 条 记 录,以下是1-10 订阅
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Spatio-temporal analysis through remote sensing and GIS in Moscow region, Russia
Spatio-temporal analysis through remote sensing and GIS in M...
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2017 international Conference Information Technology and Nanotechnology. Session Image Processing, Geoinformation Technology and Information Security, IPGTIS-ITNT 2017
作者: Choudhary, Komal Boori, M.S. Kupriyanov, A. Samara National Research University 34 Moskovskoe Shosse Samara443086 Russia American Sentinel University 2260 South Xanadu Way AuroraCO80014 United States Image Processing Systems Institute Branch of the Federal Scientific Research Centre Crystallography and Photonics Russian Academy of Sciences 151 Molodogvardeyskaya st. Samara443001 Russia Bonn University Meckenheimer Allee 166 BonnD-53115 Germany
Spatio-temporal analysis is a process for city development with growing population and economy for better implementation of planning policies with advance technology. In this research work, three dates (1995, 2005 &am... 详细信息
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remote sensing and spatial overlaying analysis based spatially sampling for monitoring urban land change
Remote sensing and spatial overlaying analysis based spatial...
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international workshop on Education Technology and Training/international workshop on Geoscience and remote sensing (ETT and GRS 2008)
作者: Zhang, Xue Tong, Xiao-hua Liu, Miao-long Tongji Univ Dept Surveying & Geoinfo Shanghai 200092 Peoples R China
In this paper, the remote sensing classification results of urban land of Trading district of Shanghai, China in the years of 1995 and 2001 were employed as expatiated case. The theory of sampling with the integration... 详细信息
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proceedings of the 1995 international workshop on soft computing in remote sensing data analysis
Proceedings of the 1995 International Workshop on Soft Compu...
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proceedings of the 1995 international workshop on soft computing in remote sensing data analysis
proceedings (12 reports) of the Conference on Non-Conventional Pattern analysis in remote sensing are presented. The main topics discussed at the Conference were following: neural networks for geographic information p... 详细信息
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soft computing techniques for data classification in a landslide-prone area of Italy
Soft computing techniques for data classification in a lands...
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proceedings of the 1999 IEEE international Geoscience and remote sensing Symposium (IGARSS'99) 'remote sensing of the Systems Earth - A Challenge for the 21st Century'
作者: Blonda, P. Satalino, G. Alberga, V. Wasowski, J. Parise, M. Chiaradia, M.T. Viggiano, R. Pappalepore, M. IESI-CNR Bari Italy
Single and repeat-pass SAR interferometry appears to be a new promising tool for a wide variety of applications. Recent studies have already shown that interferometric correlation, e.g. coherence and intensity images ... 详细信息
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soft computing techniques for data classification in a landslide-prone area of Italy
Soft computing techniques for data classification in a lands...
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IEEE international Symposium on Geoscience and remote sensing (IGARSS)
作者: P. Blonda G. Satalino V. Alberga J. Wasowski M. Parise M.T. Chiaradia R. Viggiano M. Pappalepore IESI/CNR Bari Italy Centro Spaziale di Matera LOC. Nuova Telespazio S.p.A. Matera Italy CERIST CNR Bari Italy Dipartimento Interateneo di Fisica I.N.F.M Bari Italy Centro Spaziale di Matera Nuova Telespazio S.p.A. Matera Italy Tecnopolis Plsnetek Italia s.r.l Valenzano Bari Italy
Single and repeat-pass SAR interferometry appears to be a new promising tool for a wide variety of applications. Recent studies have already shown that interferometric correlation, e.g. coherence and intensity images ... 详细信息
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Numeric and symbolic data fusion: A soft computing approach to remote sensing images analysis
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PATTERN RECOGNITION LETTERS 1996年 第13期17卷 1361-1378页
作者: Desachy, J Roux, L Zahzah, EH UNIV TOULOUSE 3 IRIT F-31062 TOULOUSE FRANCE UNIV LA ROCHELLE L3I F-17000 LA ROCHELLE FRANCE
An expert system approach for image classification according to expert knowledge about best sites for vegetation classes is described. Uncertainty management is solved by a certainty factor approach. The numerical and... 详细信息
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An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images
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PATTERN RECOGNITION LETTERS 1996年 第13期17卷 1331-1341页
作者: Serpico, SB Bruzzone, L Roli, F UNIV CAGLIARI DEPT ELECT & ELECT ENGNI-09123 CAGLIARIITALY
An experimental analysis of the use of different neural models for the supervised classification of multisensor remote-sensing data is presented. Three types of neural classifiers are considered: the Multilayer Percep... 详细信息
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A hybrid approach to fuzzy land cover mapping
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PATTERN RECOGNITION LETTERS 1996年 第13期17卷 1399-1410页
作者: Binaghi, E Brivio, PA Ghezzi, P Rampini, A Zilioli, E CNR TELERILEVAMENTO IRRSI-20131 MILANITALY
We propose here a fuzzy hybrid methodology for the classification, conceived as a cognitive process, of remote sensing images. The salient aspect of the approach is the combined use of different techniques: the linear... 详细信息
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Fuzzy logic and neural techniques integration: An application to remotely sensed data
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PATTERN RECOGNITION LETTERS 1996年 第13期17卷 1343-1348页
作者: Blonda, P Bennardo, A Satalino, G Pasquariello, G Istituto Elaborazione Segnali ed Immagini I.E.S.I-C.N.R. Via Amendola 166/5 70126 Bari Italy
The paper reviews the most recent proposals on the integration of fuzzy and neural networks techniques. First, it focuses on the strategies developed and employed for the fuzzification of neural network architectures.... 详细信息
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Active fusion - A new method applied to remote sensing image interpretation
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PATTERN RECOGNITION LETTERS 1996年 第13期17卷 1349-1359页
作者: Pinz, A Prantl, M Ganster, H KoppBorotschnig, H Institute for Computer Graphics Technical University Graz A-8010 Graz Austria
Today's computer vision applications often have to deal with multiple, uncertain and incomplete visual information. In this paper, we introduce a new method, termed ''active fusion'', which provide... 详细信息
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