Extraction of farmland areas on different row directions with SAR image based on texture feature

DOI

10.2991/rsete.2013.15How to use a DOI?

Keywords

SAR image, row direction, texture feature, region growing algorithm

Abstract

Discrimination of farmland areas on different row directions from SAR image is very significant to the selection of the optimal row direction for the cultivation and the yield. In order to reduce the effects of the speckles and improve the accuracy, the paper put forward a method which extracts the farmland areas on different row directions with region growing algorithm based on gray-level co-occurrence matrix. Particularly, the method compounds three best GLCM texture feature images and transforms them using HIS algorithm and then uses the intensity image of HIS results for region growing algorithm in order to extract the farmland areas on different row directions. The extraction results with the method in this paper are proved to be quite satisfactory.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ren Jian-hua
AU  - Zhao Kai
AU  - Zheng Xing-ming
AU  - Li Yang-yang
PY  - 2013/08
DA  - 2013/08
TI  - Extraction of farmland areas on different row directions with SAR image based on texture feature
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 58
EP  - 61
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.15
DO  - 10.2991/rsete.2013.15
ID  - Jian-hua2013/08
ER  -