Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields

Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump, overburden dump, reclamation area, etc. In the past, various land classes of surface mining areas are detected by supervised and semi-supervised...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 28-29; S. 35605 - 35627
Hauptverfasser:	Mukherjee, Jit, Mukherjee, Jayanta, Chakravarty, Debashish, Aikat, Subhash
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	1166: Advances of machine learning in data analytics and visual information processing Cluster analysis Clustering Coal mines Coal mining Computer Communication Networks Computer Science Data Structures and Information Theory Image classification Land reclamation Landsat satellites Machine learning Mine reclamation Multimedia Information Systems Overburden River beds Satellite imagery Special Purpose and Application-Based Systems Spectra Strip mining Surface mining Vector quantization Coal overburden region Clay mineral ratio Surface mining K-Means clustering Silhouette score Coal mine index
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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