Paper Info
Title
Adaptive extraction of water in urban areas based on local iteration using high-resolution multi-spectral image
Abstract
Urban water extraction from high-resolution remote sensing image is one of important aspects for regional-urban environment research. However, the past researches mainly centered upon moderate and low resolution image, water body in open country and global scale for water extraction, which can't achieve better performance. To solve those problems, an adaptive method to extract urban water was proposed based on local iteration using high-resolution remote sensing image. In each iteration, segmented buffers were constructed with adaptive length and radius to exploit information in local scale, and also spatial consistency was token into account for an improvement of local classification. Experiments demonstrated that the proposed method was applicable in urban water extraction from high-resolution image.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6352234
IGARSS
Keywords
Field
DocType
open country,high-resolution multi-spectral image,remote sensing,high-resolution remote sensing image,adaptive method,high-resolution multispectral image,adaptive length,spatial consistency,water extraction,global scale,regional-urban environment research,moderate resolution image,local iteration,hydrological techniques,urban area,geophysical image processing,water resources,water body,adaptive extraction,urban water extraction,low resolution image,adaptive radius,local scale,accuracy,water pollution,indexes,water,image segmentation
Computer vision,Local scale,Adaptive method,Computer science,Remote sensing,Exploit,Water extraction,Artificial intelligence,Water resources,Urban area,Security token,Multi spectral
Conference
Volume
Issue
ISSN
null
null
2153-6996 E-ISBN : 978-1-4673-1158-8
ISBN
Citations 
PageRank 
978-1-4673-1158-8
2
0.40
References 
Authors
2
5
Name
Order
Citations
PageRank
Yanan Zhou131.11
Jian-Cheng Luo29920.75
Zhanfeng Shen36812.60
Xi Cheng4379.20
Xiaodong Hu520.40