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59810

COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM

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Last updated: 04 Jan 2025

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Abstract

Classification techniques of remotely sensed data are of the most powerful tools to acquire land use and land cover information in a cost effective means. When applied to a temporal data set, it becomes extremely useful to determine landuse/ Iandcover changes and their trends. In this paper a features (bands) selection algorithm has been developed to determine the optimal bands that can be used in the classification process . Also, a classification scheme is developed using the information extracted from the classified images, visual interpretation and the available maps. A Database is designed using the proposed classification scheme .

DOI

10.21608/asat.2001.59810

Keywords

classification, Landuse, Landcover, Feature Selection, Landsat, SPOT and GIS

Authors

First Name

Gomaa

Last Name

A

MiddleName

M.

Affiliation

Dr.,Dpt.of Mathematics,College of Science for Girls ALAzhar University,Cairo,Egypt.

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Orcid

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First Name

El Tohamy

Last Name

F.

MiddleName

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Affiliation

Egyptian Armed Forces.

Email

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City

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Orcid

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First Name

Marie

Last Name

M.

MiddleName

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Affiliation

Professor,Dpt.of Computer, Engineering college, AL Azhar University,Cairo,Egypt.

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-

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Volume

10

Article Issue

10th International Conference On Aerospace Sciences & Aviation Technology

Related Issue

4497

Issue Date

2003-05-01

Receive Date

2019-11-17

Publish Date

2003-05-01

Page Start

1,119

Page End

1,128

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_59810.html

Detail API

https://asat.journals.ekb.eg/service?article_code=59810

Order

114

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM

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Article

Created At

22 Jan 2023