Oil spill detection using marine SAR images

Autor:	P. Pavese, P. Trivero, B. Fiscella, A. Giancaspro, F. Nirchio
Rok vydání:	2000
Předmět:	Synthetic aperture radar Oil spill Probabilistic logic General Earth and Planetary Sciences Environmental science Sample image Remote sensing
Zdroj:	International Journal of Remote Sensing. 21:3561-3566
ISSN:	1366-5901 0143-1161
DOI:	10.1080/014311600750037589
Popis:	A probabilistic approach to distinguish oil spills from other similar oceanic features in marine Synthetic Aperture Radar (SAR) images has been developed and tested. The method uses statistical information obtained from previous mesurements of physical and geometrical characteristics for both oil spill and natural features. A sample image is evaluated using two different procedures to determine the probability that it is an oil spill, the results of the two procedures are then compared. The classification-algorithm performance was evaluated using a test dataset containing 80 examples that were oil spills and 43 that were natural features exhibiting characteristics similar to oil spills: more than 80% of the samples were classified correctly. The reliability of the method was then determined using a new dataset and similar results were obtained.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a03a4b3943453d22948c312a9c0aefc7 https://doi.org/10.1080/014311600750037589 Zobrazit plný text záznamu