Pubblicazione scientifica

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery

FILONE TECNOLOGICO	TEMA
produzione e raccolta

RIASSUNTO

Synthetic Aperture Radar (SAR) is an important composition on remote sensing. Computer intelligence is widely used in SAR data classification, this addresses the importance of studying the back scatter feature of the studied object. In this paper, Inverse Synthetic Aperture Radar (ISAR) images of floating raft aquaculture (FRA) are designed to analyze detail scattering features of FRA. And the Pierson-Moskowitz (P-M) sea wave spectrum is adopted to imitate sea surface under a certain wind speed. Commercial E-M software FEKO is used for calculate the back scatter data of combined scenario. And polar format algorithm is used to generate ISAR images. After that, the ISAR images of different circumstances combined with FRA and sea are compared and analyzed. The results demonstrate that proposed method is capable of exhibiting the changes of back scatter feature in different scenarios. And the backscatter feature of FRA is correlated with the height above the sea surface.

DATA

Data di pubblicazione: 01/11/2018

AUTORI

DEYI WANG
JIANCHAO FAN
MIN HAN
PING GUO
YUZHEN LU

ENTE DI AFFERENZA

FACULTY OF ELTNC INFO & ELEC ENG DALIAN UNIV TECH DALIAN CHINA
DEPT OCEAN REMOTE SENSING NATL MARINE ENVIRONMENTAL MONITORING CTR DALIAN CHINA
IMAGE PROCESSING & PATTERN RECOGNITION LAB BEIJING NORMAL UNIV BEIJING CHINA
SCHOOL OF SCIENCE DALIAN MARITIME UNIV DALIAN CHINA

RIVISTA

2018 IEEE Symposium Series on Computational Intelligence (SSCI) (Page(s): 1902-1905)

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