Recognition of sand dredges in the Changjiang River based on ASAR remote sensing data

Bo Cao; Shengmei Yang

doi:10.1117/12.830705

30 October 2009 Recognition of sand dredges in the Changjiang River based on ASAR remote sensing data

Bo Cao, Shengmei Yang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950K (2009) https://doi.org/10.1117/12.830705
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The research in this paper is to recognize and locate sand dredges in Changjiang River based on ASAR remote sensing data. Chenglingji is selected to be experimental area. Adopting advanced radar remote sensing image can satisfy the requirement to monitor and locate sand dredges in Changjiang River ignoring the effect of weather condition and night limit. The program is developed with the IDL which property is a visual language facing matrix. Some key technologies in this paper, such as filtering and noise reduction, the process of image based on morphology, edge detection, clustering, extraction of ship's shape feature and so on, are researched. Comparing with the information gathering from land monitoring station, this method can achieve satisfied accurateness.

Citation Download Citation

Bo Cao and Shengmei Yang "Recognition of sand dredges in the Changjiang River based on ASAR remote sensing data", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950K (30 October 2009); https://doi.org/10.1117/12.830705

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available