Hyperspectral Target Detection Methods Based on Statistical Information: The Key Problems and the Corresponding Strategies

Author:

Ji Luyan12,Geng Xiurui123

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

2. The Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China

3. The School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Target detection is an important area in the applications of hyperspectral remote sensing. Due to the full use of information of the target and background, target detection algorithms based on the statistical characteristics of an image are always occupy a dominant position in the field of hyperspectral target detection. From the perspective of statistical information, we firstly presented detailed discussions on the key factors affecting the target detection results, including data origin, target size, spectral variability of target, and the number of bands. Further, we gave the corresponding strategies for several common situations in the practical target detection applications.

Funder

National Key Research and Development Program of China

Second Tibetan Plateau Scientific Expedition and Research Program

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference86 articles.

1. Imaging Spectrometry for Earth Remote Sensing;Goetz;Science,1985

2. Anomaly detection from hyperspectral imagery;Stein;IEEE Signal Process. Mag.,2002

3. Hyperspectral Image Processing for Automatic Target Detection Applications;Manolakis;Linc. Lab. J.,2003

4. Mineral mapping at Cuprite, Nevada with a 63-channel imaging spectrometer;Kruse;Photogramm. Eng. Remote Sens.,1990

5. Material Absorption Band Depth Mapping of Imaging Spectrometer Data Using a Complete Band Shape Least-Squares Fit with Library Reference Spectra;Proceedings of the Second Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop,1990

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3