SHIP DETECTION APPROACH BASED ON CROSS-CORRELATION FROM ENVISAT ASAR AP DATA

Title
SHIP DETECTION APPROACH BASED ON CROSS-CORRELATION FROM ENVISAT ASAR AP DATA
Author(s)
양찬수; Kazuo Ouchi
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2008-01-24
Abstract
Preliminary results are reported on ship detection using coherence images computed from cross-correlating images of multi-look-processed dual-polarization data (HH and HV) of ENVISAT ASAR. The traditional techniques of ship detection by radars such as CFAR (Constant False Alarm Rate) rely on the amplitude data, and therefore the detection tends to become difficult when the amplitudes of ships images are at similar level as the mean amplitude of surrounding sea clutter. The proposed method utilizes the property that the multi-look images of ships are correlated with each other. Because the inter-look images of sea surface are covered by uncorrelated speckle, cross-correlation of multi-look images yields the different degrees of coherence between the images and water. The polarimetric information of ships, land and intertidal zone are first compared based on the cross-correlation between HH and HV. In the next step, we examine the technique when the dual-polarization data are split into two multi-look images.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/30113
Bibliographic Citation
SEASAR 2008, pp.1 - 4, 2008
Publisher
ESA
Type
Conference
Language
English
Publisher
ESA
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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