A study on remote sensing image segmentation and classification

Title

A study on remote sensing image segmentation and classification

Creator

Mishra, Vikash Kumar; Aleem, Abdul; Kumar, Vimal; Alapatt, Bosco Paul

Description

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. 2025 Bentham Science Publishers. All rights reserved.

Source

Computational Intelligence and its Applications;pp.167-190

Date

01-01-2025

Publisher

Bentham Science Publishers

Subject

Classification; Image segmentation; Remote sensing

Coverage

Mishra V.K., Galgotias University, Uttar pradesh, India; Aleem A., Galgotias University, Uttar pradesh, India; Kumar V., Galgotias University, Uttar pradesh, India; Alapatt B.P., Christ (Deemed to be University), Delhi NCR Campus, Ghaziabad, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-981531332-1; 978-981531333-8;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.2174/9789815313321125010013

https://www.scopus.com/pages/publications/105005922887?origin=resultslist