A novel analysis dictionary learning model based hyperspectral image classification method

Wei Wei, Mengting Ma, Cong Wang, Lei Zhang, Peng Zhang, Yanning Zhang

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis.Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based supervised HSI classification method in this paper. In the proposed method, the dictionary is modeled considering both the characteristics within the spectrum and among the spectra. Specifically, to reduce the influence of strong nonlinearity within each spectrum on classification, we divide the spectrum into some segments, and based on this we propose HSI classification strategy. To preserve the relationships among spectra, similarities among pixels are introduced as constraints. Experimental results on several benchmark hyperspectral datasets demonstrate the effectiveness of the proposed method for HSI classification.

源语言英语
文章编号397
期刊Remote Sensing
11
4
DOI
出版状态已出版 - 1 2月 2019

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