Thamaraikannan, N and Manju, S Review on Image Classification Techniques in Machine Learning for Satellite Imagery. UNSPECIFIED.

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Abstract

T-Satellite imagery plays a vital role in
research and developments for exploration and
improvement in agriculture monitoring and
catastrophe monitoring and numerous fields. Satellite
images are recorded in superior systems processed by
way of computers to extract facts. Machine Learning
(ML) is an integral part of artificial intelligence that
is used to design a set of rules primarily based on
facts. It focuses on the development of software
applications that can obtain access to information and
use it to instruct themselves. System studying use
region tracking via satellite snapshots desires the
records for detecting the diverse gadgets. Machine
Learning calculations have ended up being a unique
asset for examining satellite symbolism of any goal
giving better and more nuanced experiences. This
article discusses image classification techniques in
Machine learning techniques to enhance Satellite
Imagery.

Item Type: Book
Uncontrolled Keywords: Machine Learning, Satellite Imagery, Classification Techniques
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 26 Sep 2022 05:32
Last Modified: 26 Sep 2022 05:32
URI: http://ir.psgcas.ac.in/id/eprint/1540

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