REDUCED DIMENSION ESTIMATORS IN MATCHED SUBSPACE DETECTION

被引：0

作者：

Emerson, Tegan ^{[1
]}

Kirby, Michael ^{[1
]}

Peterson, Chris ^{[1
]}

Scharf, Louis ^{[1
]}

机构：

[1] Colorado State Univ, Dept Math, Ft Collins, CO 80523 USA

来源：

2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年

基金：

美国国家科学基金会;

关键词：

Dimension Reduction; Matched Subspace Detector; Adaptive Coherence Estimator; Bias-Variance Tradeoff; Hyperspectral Imaging;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

The standard matched subspace detector is modified by replacing a full-rank oblique pseudo-inverse with a reduced-dimension version that trades bias for variance. Minimization of the bias squared plus variance produces an order determination rule relating signal to noise ratio and noise gain. The reduced dimension detector is then applied to several detection tasks in hyperspectral imagery yielding promising results.

引用

页数：5

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