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2023 | OriginalPaper | Chapter

Content-Based Satellite Image Retrieval on Edge Detection Algorithm and Compression with ACO During Boundaries Analysis

Authors : Anshu Mehta, Saurabh Charaya

Published in: Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

Publisher: Springer Nature Singapore

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Abstract

Present research is focused on content-based satellite image retrieval. Boundaries of satellite images have been analyzed using edge detection and compression technique. Edge detection and compression in ant colony optimization and image processing are the subject of current research. The suggested study is centered on the integration of ACO with an edge detection technique and compression. Detection of edges, optimization of ant colonies, and image processing are all topics that have been studied in the past. The difficulties that have been addressed in earlier research are included in the problem statement. According to ant colony optimization requirements, edge detection is necessary when it comes to image processing. Edge detection is also used for image processing, and this is done using the edge detection approach. Edge detection pictures have been studied for contrast, correlation, and entropy as well as for energy, variance, deviation, smoothness, and skewness throughout the feature extraction process.

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Title: Content-Based Satellite Image Retrieval on Edge Detection Algorithm and Compression with ACO During Boundaries Analysis
Authors: Anshu Mehta
Saurabh Charaya
Publisher: Springer Nature Singapore
Book: Artificial Intelligence and Machine Learning in Satellite Data Processing and Services
Print ISBN: 978-981-19-7697-1

Electronic ISBN: 978-981-19-7698-8

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-7698-8_21

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