Comparative study on projected clustering methods for hyperspectral imagery classification (English)
- New search for: Mehta, Anand
- New search for: Dikshit, Onkar
- New search for: Mehta, Anand
- New search for: Dikshit, Onkar
In:
Geocarto International
;
31
, 3
;
296-307
;
2016
- Article (Journal) / Electronic Resource
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Title:Comparative study on projected clustering methods for hyperspectral imagery classification
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Contributors:Mehta, Anand ( author ) / Dikshit, Onkar ( author )
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Published in:Geocarto International ; 31, 3 ; 296-307
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Publisher:
- New search for: Taylor & Francis
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Publication date:2016-03-15
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Size:12 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 31, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 241
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3D geostatistical modelling and uncertainty analysis of clay minerals distribution in reservoir rocksAshoori, Sivash / Abdideh, Mohammad / Alavi, Ali et al. | 2016
- 256
-
Estimating spatial variations of total evaporation using multispectral sensors within the uMngeni catchment, South AfricaShoko, C. / Clark, D.J. / Mengistu, M.G. / Bulcock, H. / Dube, T. et al. | 2016
- 278
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Temporal MODIS data for identification of wheat crop using noise clustering soft classification approachUpadhyay, Priyadarshi / Ghosh, S.K. / Kumar, Anil et al. | 2016
- 296
-
Comparative study on projected clustering methods for hyperspectral imagery classificationMehta, Anand / Dikshit, Onkar et al. | 2016
- 308
-
Delineation and assessment of Central Indian Suture through lineament extraction approach using Remote Sensing and Geographic Information SystemGanguly, Kuntal / Mitran, Tarik et al. | 2016
- 328
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Mapping urban growth of the capital city of Honduras from Landsat data using the impervious surface fraction algorithmSon, Nguyen-Thanh / Chen, Chi-Farn / Chen, Cheng-Ru / Chiang, Shou-Hao et al. | 2016
- 342
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A GEOBIA framework for the implementation of national and international forest definitions using very high spatial resolution optical satellite dataTompoulidou, M. / Gitas, I.Z. / Polychronaki, A. / Mallinis, G. et al. | 2016