Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM
Author(s) -
Khalid A. Al-Afandy,
Hicham Omara,
Hala S. Elsayed,
Mohammed Baz,
Mohamed Lazaar,
Osama S. Faragallah,
Mohammed Al Achhab
Publication year - 2022
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.022457
Subject(s) - artificial intelligence , computer science , pattern recognition (psychology) , support vector machine , classifier (uml) , convolutional neural network , feature extraction , contextual image classification , artificial neural network , concatenation (mathematics) , convolution (computer science) , image (mathematics) , mathematics , combinatorics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom