Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification

Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification

We propose a method for change detection in highresolution remote sensing images by means of level set evolution and Support Vector Machine (SVM) classification, which combined both pixellevel method and objectlevel method Both pixelbased change features and objectbased ones are extracted to improve...

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Bibliographic Details
Main Authors: YAN Ming, CAO Guo, XIA Meng
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2019-02-01
Series:Journal of Harbin University of Science and Technology
Subjects:
change detection
level set evolution
support vector machine (svm)
multi resolution analysis
image segmentation
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1640
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