A Study on Remote Sensing Image Segmentation and Classification
- Authors: Vikash Kumar Mishra1, Abdul Aleem2, Vimal Kumar3, Bosco Paul Alapatt4
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View Affiliations Hide Affiliations1 Galgotias University, Uttar pradesh, India 2 Galgotias University, Uttar pradesh, India 3 Galgotias University, Uttar pradesh, India 4 Christ (Deemed to be University), Delhi NCR Campus, Ghaziabad, India
- Source: Computational Intelligence and its Applications , pp 167-190
- Publication Date: March 2025
- Language: English
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The image is a composition of many pixels. These pixels include two pieces of information: coordinate or position and intensity value. The image includes several objects; extracting the crucial objects from the image is critical. Based on the similarity of patterns, classes, groups, and segments of contained objects in the image can be created. Assigning the labels to the pixels is necessary to make the image more informative for analyzing features and decision-making. This study addresses segmentation techniques and classifying images pertaining to remote sensing images. Thereafter, Land Use Land Cover (LULC) mapping is discussed, which classifies the remote sensing images.
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