Pubblicazione scientifica

Monitoring of fishing boats by alos-2/4 data

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità

RIASSUNTO

SAR remote sensing has been attractive as an efficient tool to monitor a vast expanse of the ocean due to its flexible operability with wide swath. In this context, many applications have been developed for ocean traffic monitoring based on conventional ship detection techniques. Nowadays, ScanSAR modes usually covers around 500 km of swath with coarse resolution more than 50 m which is hopeless to directly identify each detected ship. Because the swath width of ScanSAR modes is getting wider, it might be useful to know the distribution of ships as soon as possible. In this paper, an identification of a group of ships by ALOS-2 Scan-SAR data would be achieved by using various statistical indicators calculated from the images. The technique is applied to open water around Yamatotai in Japan Sea which is abundant for various fishes including squids and crabs. Each indicator is quantitatively justified.

DATA

Data di pubblicazione: 26/09/2020

AUTORI

MOTOFUMI ARII
TAKESHI NISHIMURA
JIN SERIZAWA

ENTE DI AFFERENZA

MITSBISHI ELEC CO LTD
MITSUBISHI SPACE SOFTWARE CO LTD

RIVISTA

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (Page(s): 3795-3798)

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