Study on Water Bodies Extraction with FY3A Satellite Image

Author

Long, Zhiyong ; He, Mingyuan ; Shi, Hanqing ; Rao, Ruoyu

Author_Institution

Inst. of Meteorol., PLA Univ. of Sci. Technol., Nanjing, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

The new generation polar-orbit meteorological satellite of China-FY3A carries a sensor named medium resolution spectral imager (MERSI), which includes 20 channels to observe the same area 2 to 6 times everyday. Its data with high resolutions of time and spatial are useful for detecting water. In this paper, we analyze the data by histogram and clustering, get the characters of all channels. We summarize two methods of detecting water bodies and compare the results of them. The test indicates that extracting water bodies with NDI is better.

Keywords

geophysical signal processing; image resolution; meteorology; object detection; pattern clustering; remote sensing; spectral analysis; statistical analysis; water resources; FY3A satellite image; MERSI; NDI; histogram; medium resolution spectral imager; new generation polar-orbit meteorological satellite; pattern clustering; water bodies detection; water bodies extraction; Data analysis; Data mining; Histograms; Image generation; Image resolution; Image sensors; Meteorology; Satellites; Spatial resolution; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5300848

Filename

5300848