A Novel Method for Segmentation and Change Detection of Satellite Images Using Proximal Splitting Algorithm and Multiclass SVM

This paper presents a novel method for segmentation and change detection of multispectral images using proximal splitting-based clustering and multiclass support vector machine (MSVM). Initially, the multitemporal satellite images are preprocessed and then textures are extracted using Difference of...

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Veröffentlicht in:	Journal of the Indian Society of Remote Sensing 2019-05, Vol.47 (5), p.853-865
Hauptverfasser:	Gandhimathi Alias Usha, S., Vasuki, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Change detection Clustering Earth and Environmental Science Earth Sciences Euclidean geometry Experimentation Image detection Image segmentation Remote sensing Remote Sensing/Photogrammetry Research Article Satellite imagery Splitting Support vector machines
Online-Zugang:	Volltext
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