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

Author

Xuejun Cheng ; Youchuan Wan ; Bo Cao

Author_Institution

Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image denoising; remote sensing by radar; rivers; sand; synthetic aperture radar; ASAR remote sensing; Chenglingji; Yangtze River; edge detection; facing matrix; image filtering; interactive data language; morphology; noise reduction; region growth; sand dredges; sand exploitation ships; ship shape feature; Data mining; Filtering; Image edge detection; Marine vehicles; Monitoring; Morphology; Noise reduction; Remote sensing; Rivers; Shape; ASAR; feature extraction; identification; remote sensing; sand dredge;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2009 17th International Conference on

Conference_Location

Fairfax, VA

Print_ISBN

978-1-4244-4562-2

Electronic_ISBN

978-1-4244-4563-9

Type

conf

DOI

10.1109/GEOINFORMATICS.2009.5293528

Filename

5293528