Overview of Hyperspectral Image Classification

With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread. The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention. Many methods have achi...

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Bibliographic Details
Main Authors: Wenjing Lv, Xiaofei Wang
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2020/4817234
Description
Summary:With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread. The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention. Many methods have achieved good classification results in the classification of hyperspectral images. This paper reviews the classification methods of hyperspectral images from three aspects: supervised classification, semisupervised classification, and unsupervised classification.
ISSN:1687-725X
1687-7268