Title :
New features for texture analysis
Author_Institution :
CIRAD-GERDAT, Centre de Cooperation Int. en Recherche Agronomique pour le Dev., Montpellier, France
Abstract :
This research focuses on the task of describing and segmenting an image using new textural features. The application of the method shows its ability to characterise different landscapes on remote sensing images. The authors show the usefulness of the method on a simple synthetic image, finally they show how to apply it on remote sensing images (grey-level images and classified images). The result is a globally consistent interpretation of the image.
Keywords :
geophysical signal processing; geophysical techniques; image classification; image segmentation; image texture; remote sensing; classified image; geophysical measurement technique; grey-level image; image segmentation; image texture analysis; land surface terrain mapping; landscape; method; optical imaging; optical signal processing; remote sensing; Image analysis; Image segmentation; Image texture analysis; Pixel; Remote sensing; Satellites; Shape;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399372