Land use and land cover change detection by using principal component analysis and morphological operations in remote sensing applications

In remote sensing, the land use and land cover (LULC) play a vital role in analyzing Earth information for human development. These objects of change detections are helpful for finding the increased or decreased areas due to limitations of Landsat panchromatic images (gray scale) are not appearing i...

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Bibliographic Details
Published in:International journal of computers & applications 2021-05, Vol.43 (5), p.462-471
Main Authors: Dharani, M., Sreenivasulu, G.
Format: Article
Language:English
Subjects:
Change detection
Cluster analysis
Clustering
Datasets
Forest management
Image processing
Land cover
Land use
Landsat satellites
Mathematical analysis
Morphological operation
Morphology
multispectral image
normalized difference vegetation index
Normalized difference vegetative index
normalized difference water index
Object recognition
panchromatic
principal component analysis
Principal components analysis
Remote sensing
Satellite imagery
Urban development
Vector quantization
Vegetation
Vegetation index
Water levels
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