TY - GEN
T1 - Evaluation of image descriptors for urban-rural classification of aerial images
AU - Cortés, Daniel
AU - Nakano, Mariko
AU - Koga, Hisashi
AU - Perez, Hector
N1 - Publisher Copyright:
© 2017 The authors and IOS Press. All rights reserved.
PY - 2017
Y1 - 2017
N2 - In this paper, fourteen descriptors are evaluated for urban-rural classification of aerial images. Among these fourteen descriptors, eleven descriptors consist of texture-based, color-based con combination of these two descriptors. Rest three descriptors are based on dictionaries generated using the Lempel-Ziv-Welch (LZW) data compression algorithm. The classification is carried out using Support Vector Machine (SVM) with radial basis function as kernel function and KNN algorithm. The performance of these images descriptors are evaluated using accuracy, precision, sensitivity and specificity. From evaluation results, we conclude the Gabor descriptor combined with Dominant Color descriptor provides better performance, obtaining its accuracy more than 91%.
AB - In this paper, fourteen descriptors are evaluated for urban-rural classification of aerial images. Among these fourteen descriptors, eleven descriptors consist of texture-based, color-based con combination of these two descriptors. Rest three descriptors are based on dictionaries generated using the Lempel-Ziv-Welch (LZW) data compression algorithm. The classification is carried out using Support Vector Machine (SVM) with radial basis function as kernel function and KNN algorithm. The performance of these images descriptors are evaluated using accuracy, precision, sensitivity and specificity. From evaluation results, we conclude the Gabor descriptor combined with Dominant Color descriptor provides better performance, obtaining its accuracy more than 91%.
KW - Aerial image classification
KW - Color-based descriptor
KW - Dictionary-based descriptor
KW - KNN
KW - LZW compression algorithm
KW - SVM
KW - Texture-based descriptor
UR - http://www.scopus.com/inward/record.url?scp=85029224652&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-800-6-204
DO - 10.3233/978-1-61499-800-6-204
M3 - Contribución a la conferencia
T3 - Frontiers in Artificial Intelligence and Applications
SP - 204
EP - 213
BT - New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017
A2 - Fujita, Hamido
A2 - Selamat, Ali
A2 - Omatu, Sigeru
PB - IOS Press BV
T2 - 16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017
Y2 - 26 September 2017 through 28 September 2017
ER -