Title :
Data compression effects on SAR image interpretation
Author :
Staples, Gordon C. ; Rossignol, Stéphane ; Stevens, Wayne
Author_Institution :
RADARSAT Int., Richmond, BC, Canada
Abstract :
Application development projects focused on the use of the JPEG/DCT data compression routine to facilitate near-real-time SAR data delivery. The key requirements were to maintain image interpretability after image compression for three distinct cases: (1) points-ship detection; (2) linear features - oil slick detection; and (3) areas-ice mapping. Maximum compression ratios and corresponding mean square-errors obtained were: ships-(53.7:1, 22.9); oil slicks (52.5:1, 25.9); ice (27.9:1, 31.8). Image interpretability was high even at the largest compression ratios for ship detection, but image interpretability degraded with increasing compression ratio for oil slick detection and ice mapping. The decrease in interpretability was due to the high frequency spatial information of the oil slick and ice mapping imagery
Keywords :
data compression; geophysical signal processing; image coding; oceanographic techniques; radar imaging; remote sensing by radar; sea ice; synthetic aperture radar; water pollution measurement; DCT; JPEG; SAR image interpretation; data compression ratio; discrete cosine transform; image compression; image interpretability; image processing; linear feature; marine radar; measurement technique; ocean; oil slick; oil slick detection; radar imaging; radar remote sensing; sea ice mapping; sea surface; ship detection; synthetic aperture radar; water pollution; Computer vision; Data compression; Degradation; Discrete cosine transforms; Frequency; Ice; Image coding; Marine vehicles; Petroleum; Transform coding;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.523994
