COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM
A, G., F., E., M., M. (2001). COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM. EKB Journal Management System, 9(ASAT Conference, 8-10 May 2001), 1-9. doi: 10.21608/asat.2001.31163
Gomaa M. A; El Tohamy F.; Marie M.. "COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM". EKB Journal Management System, 9, ASAT Conference, 8-10 May 2001, 2001, 1-9. doi: 10.21608/asat.2001.31163
A, G., F., E., M., M. (2001). 'COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM', EKB Journal Management System, 9(ASAT Conference, 8-10 May 2001), pp. 1-9. doi: 10.21608/asat.2001.31163
A, G., F., E., M., M. COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM. EKB Journal Management System, 2001; 9(ASAT Conference, 8-10 May 2001): 1-9. doi: 10.21608/asat.2001.31163

COMPUTER ASSISTED IMAGE CLASSIFICATION PROCEDURES USING A DEVELOPED FEATURE SELECTION ALGORITHM

International Conference on Aerospace Sciences and Aviation Technology
Article 79, Volume 9, ASAT Conference, 8-10 May 2001, May 2001, Pages 1-9    PDF (844.27 K)
Document Type: Original Article
DOI: 10.21608/asat.2001.31163
Authors
Gomaa M. A1; El Tohamy F.2; Marie M.3
1Dr.,Dpt.of Mathematics,College of Science for Girls ALAzhar University,Cairo,Egypt.
2Egyptian Armed Forces.
3Professor,Dpt.of Computer, Engineering college, AL Azhar University,Cairo,Egypt.
Abstract
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 .
Keywords
classification; Landuse; Landcover; Feature Selection; Landsat; SPOT and GIS
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