A New Texture Aware-Seed Demand Enhanced Simple Non-Iterative Clustering (ESNIC) Segmentation Algorithm for Efficient Land Use and Land Cover Mapping on Remote Sensing Images

Change detection in Land Use and Land Cover (LULC) on remote sensing images is essential for urban planning, disaster risk management, climate change monitoring, and biodiversity conservation. Precise detection of these changes is heavily impacted by the classification accuracy of the LULC types whi...

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Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 121208 - 121222
Main Authors:	Selvaraj, Rohini, Amali, D. Geraldine Bessie
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithm design and theory Algorithms Change detection Change detection algorithms Classification Climate change Clustering Clustering methods Errors google earth engine Image processing Image segmentation Iterative methods k-nearest neighbor Land cover Land use land use and land cover Land use management Land use planning Mapping Nearest neighbor methods Redundancy Remote monitoring Remote sensing Remote sensing images Risk management Satellite images simple non-iterative clustering Spectral signatures support vector machine Support vector machines Texture Urban planning
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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