TY - GEN
T1 - An algorithm on extraction of saline-alkalized land by image segmentation based on ETM+ image
AU - Li, Jianping
AU - Zhang, Bai
AU - Zhang, Shuqing
AU - Wang, Zongming
PY - 2006
Y1 - 2006
N2 - Based on ETM+ remote sensing image, according to geographical distribution and spectral characteristics of saline-alkalized land, especially that of light, and moderate saline-alkalized land, an algorithm of semi-supervised multi-grade mean weighed seed region searching is presented. Experimental results indicate that the algorithm has high operation speed, high segmentation accuracy and certain fault tolerance, and also, to a great extent, over-segmentation problem can be perfectly solved. But because of mixed distribution of sand land and saline-alkalized land, they can not be effectively segmented by the algorithm.
AB - Based on ETM+ remote sensing image, according to geographical distribution and spectral characteristics of saline-alkalized land, especially that of light, and moderate saline-alkalized land, an algorithm of semi-supervised multi-grade mean weighed seed region searching is presented. Experimental results indicate that the algorithm has high operation speed, high segmentation accuracy and certain fault tolerance, and also, to a great extent, over-segmentation problem can be perfectly solved. But because of mixed distribution of sand land and saline-alkalized land, they can not be effectively segmented by the algorithm.
UR - https://www.scopus.com/pages/publications/33745937189
M3 - 会议稿件
AN - SCOPUS:33745937189
SN - 354034070X
SN - 9783540340706
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 885
EP - 894
BT - Computational Science and Its Applications - ICCSA 2006
PB - Springer Verlag
T2 - ICCSA 2006: International Conference on Computational Science and Its Applications
Y2 - 8 May 2006 through 11 May 2006
ER -