Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection

Existing sparsity-based hyperspectral image (HSI) target detection methods have two key problems. 1) The background dictionary is locally constructed by the pixels between the inner and outer windows, surrounding and enclosing the central test pixel. The dual-window strategy is intricate and might r...

詳細記述

書誌詳細

出版年:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主要な著者:	Tan Guo, Fulin Luo, Lei Zhang, Bob Zhang, Xiaoheng Tan, Xiaocheng Zhou
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2020-01-01
主題:	Dictionary decomposition hyperspectral image (HSI) low-rank constraint sparse model target detection
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9117170/