By Topic

Identification of sand dredges in Yangtze River based on ASAR remote sensing data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xuejun Cheng ; Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China ; Youchuan Wan ; Bo Cao

This paper wants to explore a key technique of identifying and locating the sand exploitation ships using ASAR images. Chenglingji of Yangtze River is selected as the research region. One software module was developed with the IDL (Interactive Data Language) which is a facing matrix, simple visual language. This paper researches on some key techniques based on ASAR images such as filtering and noise reduction, the process of image based on morphology, edge detection, region growth, extraction of ship's shape feature and so on. Comparing with the field monitoring results, this method can achieve 80%-90% accurateness.

Published in:

Geoinformatics, 2009 17th International Conference on

Date of Conference:

12-14 Aug. 2009