Comparative Evaluation of Morphological Analysis and Wavelet Techniques in the Early Identification of Hydrocarbons in Ocean Environments

Abstract

The early detection of hydrocarbons in marine environments is crucial to mitigate ecological impacts and optimize spill response strategies. This paper presents a comparative evaluation between morphological analysis and wavelet transform applied to satellite image processing. Images from Sentinel-1 and Sentinel-2 sensors were used to detect hydrocarbons in the Atlantic Ocean and the Gulf of Mexico. The results show that both techniques have particular strengths, with the combination of both being the most efficient in precision and sensitivity. This study contributes to the development of automated early warning systems in ocean surveillance.