Paper Info
Title
High-precise water extraction based on spectral-spatial coupled remote sensing information
Abstract
Remote sensing information extraction is the key step of remote sensing application, and the automatic and high-precise extraction of water information from remotely sensed images is of great significance and urgently required in many research fields. This paper presents a step-by-step iterative transformation mechanism to extract water information, which uses spatial scale transformation mechanism of “whole-local” based on water index fitted from spectral library using spectral angle method first, and then fuses the hierarchical knowledge of water extraction and achieves the gradually approach of the water body's optimal margin iteratively by combining the segmentation and classification at whole and local scales respectively. Experiment of plateau lake information extraction demonstrates its better accuracy and efficiency.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5648978
IGARSS
Keywords
Field
DocType
spectral-spatial coupled remote sensing,remote sensing,hierarchical knowledge,water extraction,image segmentation,water,iterative transformation mechanism,image classification,step-by-step iterative mechanism,geophysical image processing,object-oriented,information extraction,iterative methods,water bodies,spatial scale,data mining,classification algorithms,object oriented,indexes,accuracy
Computer vision,Computer science,Segmentation,Iterative method,Remote sensing,Image segmentation,Remote sensing application,Water extraction,Information extraction,Artificial intelligence,Statistical classification,Contextual image classification
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
1
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Jian-Cheng Luo19920.75
Yongwei Sheng2266.05
Zhanfeng Shen36812.60
Junli Li410.71