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Semi-Supervised Based Hyperspectral Imagery Classification

Hyperspectral imagery classification is a challenging problem. Wherein, the high number of spectral channels and the high cost of true sample labeling greatly reduce the classification precision. In this paper, we proposed a semi-supervised method, which combine linear discriminant analysis and mani...

詳細記述

保存先:
書誌詳細
主要な著者: Zhijun Zheng, Yanbin Peng
フォーマット: Artigo
言語:Inglês
出版事項: IFSA Publishing, S.L. 2013-09-01
シリーズ:Sensors & Transducers
主題:
オンライン・アクセス:http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1360.pdf
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