遥感高光谱图像分析技术

R. P. Iyer, Archanaa Raveendran, S. Bhuvana, R. Kavitha
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引用次数: 9

摘要

本文综述了基于遥感的高光谱图像分析与处理技术。图像分析方法将详细说明。提出了处理高光谱图像的一般框架,包括去除大气影响。高光谱数据由于特征空间的高维性,给图像解译带来了以下几个方面的挑战:1)数据需要标定;2)信息冗余;3)数据量大。因此,本文也将简要讨论降维问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hyperspectral image analysis techniques on remote sensing
This article presents an overview of hyperspectral image analysis and processing techniques based on remote sensing. Image analysis methods will be explained in detail. A general framework is presented for working with hyperspectral imagery, including removal of atmospheric effects. Due to large dimensionality of the feature space, hyperspectral data poses a challenge to image interpretation in the following ways: 1) need of calibration of data2) redundancy in information and 3) high volume data. Hence, a brief discussion on dimensionality reduction will also be presented in this review.
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