TY - GEN
T1 - Interpretation of river main-flow from remote sensing images
T2 - 2008 International Joint Conference on Neural Networks, IJCNN 2008
AU - Han, Lin
AU - Liu, Xuegong
AU - Zhang, Yanning
PY - 2008
Y1 - 2008
N2 - The main-flow is wandering for sedimentation in downstream channel of the Yellow River, which threatened security greatly for flood control in the lower. It is a very difficult issue to interpret the main-flow information using remote sensing image. In this paper, with the flow characteristics of direction and continuously similarity in river channel, a Dynamic Transmission Cross-Correlation (DTCC) algorithm was proposed and employed to try to extract the main-flow information based on Landsat TM images in wandering reaches of the lower Yellow River. The results show that the interpretation main-flow is coincident with the field observed.
AB - The main-flow is wandering for sedimentation in downstream channel of the Yellow River, which threatened security greatly for flood control in the lower. It is a very difficult issue to interpret the main-flow information using remote sensing image. In this paper, with the flow characteristics of direction and continuously similarity in river channel, a Dynamic Transmission Cross-Correlation (DTCC) algorithm was proposed and employed to try to extract the main-flow information based on Landsat TM images in wandering reaches of the lower Yellow River. The results show that the interpretation main-flow is coincident with the field observed.
UR - http://www.scopus.com/inward/record.url?scp=56349104747&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2008.4634113
DO - 10.1109/IJCNN.2008.4634113
M3 - 会议稿件
AN - SCOPUS:56349104747
SN - 9781424418213
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 2281
EP - 2289
BT - 2008 International Joint Conference on Neural Networks, IJCNN 2008
Y2 - 1 June 2008 through 8 June 2008
ER -