Title :
Texture classification in remotely sensed images
Author :
Yang, Shisong ; Hung, Chih-Cheng
Author_Institution :
Southern Polytech. State Univ., Marietta, GA, USA
Abstract :
This paper addresses the problem of texture classification in satellite images. A novel texture feature called "characteristic view" and a new image classification algorithm called the k-views template method based on this feature are proposed. Experiments on satellite images are provided
Keywords :
geophysical signal processing; image classification; image texture; remote sensing; characteristic view; image classification; k views template method; remotely sensed images; satellite images; texture classification; texture feature; Classification algorithms; Feature extraction; Frequency domain analysis; Image classification; Image edge detection; Image segmentation; Image texture; Pixel; Satellites; Statistics;
Conference_Titel :
SoutheastCon, 2002. Proceedings IEEE
Conference_Location :
Columbia, SC
Print_ISBN :
0-7803-7252-2
DOI :
10.1109/.2002.995559
