研究目的
To reduce the complexity in extracting oil spills from oceans by analyzing both color images using high-resolution cameras and Synthetic Aperture Radar (SAR) images through image processing techniques and k-means clustering.
研究成果
The algorithm effectively clusters oil spill patches, allowing for targeted extraction methods to be employed, thereby reducing the cost and time involved in cleaning up oil spills. The use of drones for monitoring and SAR images for analysis presents a viable solution for early detection and efficient cleanup.
研究不足
The study relies on the quality of images captured, which can be affected by environmental conditions. The effectiveness of the method is also dependent on the resolution of the images and the accuracy of the clustering algorithm.
