UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811d14


Registration ID:
525898

Page Number

459-463

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Title

SVM Mechanism Education Algorithm-Based Effective Satisfied-Built Double Recovery Planning for Satellite Images

Authors

Abstract

This research shows how to extract any data from a satellite image, such as colours, shapes, textures, and other features. Using this image processing technique, significant urban features such as buildings and gardens as well as rural traits such as native flora, water features, and fields may be recognized. We require satellite pictures in order to use SVM to extract the appropriate image. It is essential to have an image search and indexing tool since picture database sizes have grown significantly., if the query image is an image of a horse, the first images returned from a vast image dataset must be horse images.

Key Words

Retrieval, Satellite Images, Colour and texture, CBIR, SVM (Support Vector Machine)

Cite This Article

"SVM Mechanism Education Algorithm-Based Effective Satisfied-Built Double Recovery Planning for Satellite Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.459-463, November-2018, Available :http://www.jetir.org/papers/JETIR1811d14.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SVM Mechanism Education Algorithm-Based Effective Satisfied-Built Double Recovery Planning for Satellite Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp459-463, November-2018, Available at : http://www.jetir.org/papers/JETIR1811d14.pdf

Publication Details

Published Paper ID: JETIR1811d14
Registration ID: 525898
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 459-463
Country: Sidhpur, Patan, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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