A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis

A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis

Traditional target detection (TD) algorithms for hyperspectral imagery (HSI) typically suffer from background interference. To alleviate this problem, we propose a novel preprocessing method based on tensor principal component analysis (TPCA) to separate the background and target apart. With the use...

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Bibliographic Details
Main Authors: Zehao Chen, Bin Yang, Bin Wang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
hyperspectral imagery
target detection
preprocessing
tensor principal component analysis
Online Access:http://www.mdpi.com/2072-4292/10/7/1033

Internet

http://www.mdpi.com/2072-4292/10/7/1033

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