Combining Classifiers in the Problem of Thematic Processing of Hyperspectral Aerospace Images-Reference-Cited by-同舟云学术

Combining Classifiers in the Problem of Thematic Processing of Hyperspectral Aerospace Images

Published:2018-05 Issue:3 Volume:54 Page:213-221
ISSN:8756-6990
Container-title:Optoelectronics, Instrumentation and Data Processing
language:en
Short-container-title:Optoelectron.Instrument.Proc.

Author:

Dmitriev E. V.,Kozoderov V. V.,Dementyev A. O.,Safonova A. N.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Link

http://link.springer.com/content/pdf/10.3103/S8756699018030019.pdf

Reference15 articles.

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2. V. V. Kozoderov, E. V. Dmitriev, and V. P. Kamentsev, Cognitive Technologies of Remote Sensing in Nature Management (Izd. Tver. Gos. Univ., Tver, 2016) [in Russian].

3. S. M. Borzov and O. I. Potaturkin, “Classification of Vegetation Covers Based on Hyperspectral Data of Earth Remote Sensing,” Vestn. Nov. Gos. Univ. Informatsionnye Tekhnologii 12 (4), 13–22 (2014).

4. M. Marshall and P. Thenkabail, “Advantage of Hyperspectral EO-1 Hyperion over Multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM +, and MODIS Vegetation Indices in Crop Bio-Mass Estimation,” ISPRS J. Photogrammetry and Remote Sensing 108, 205–218 (2015).

5. D. Vyas, N. S. R. Krishnayya, K. R. Manjunath, et al., “Evaluation of Classifiers for Processing Hyperion (EO-1) Data of Tropical Vegetation,” Intern. J. Appl. Earth Observation and Geoinform. 13 (2), 228–235 (2011).

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