Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For single-band and single-polarized SAR, its capability to monitor oil spill is limited based on image intensity. Texture features are suggested to improve accuracy of oil spill surveillance. Texture measures, extracted from GLCM (gray-level co-occurrence matrices), are analyzed, which indicates that mean, contrast, variance, entropy, and dissimilarity are effective for oil identification. SAR image is characterized by high resolution and speckle noise, which limits pixel-based approaches. , object oriented image analysis is used to extract oil slick. This algorithm typically incorporates both spectral and spatial information in the image segmentation phase. Results indicate that texture features extend features of interested objects, and help to improve oil spill surveillance.
['Long Ma', 'Ying Li', 'Baocheng Zhang', 'Yu Liu', 'Chao Gao', 'Shuiming Yu']
I am writing a research paper on a idea Research on oil spill identification based on texture features-a case study of “Hebei Spirit” accident
[{"from": "human", "value": "I am writing a research paper on a idea Research on oil spill identification based on texture features-a case study of \u201cHebei Spirit\u201d accident"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For single-band and single-polarized SAR, its capability to monitor oil spill is limited based on image intensity. Texture features are suggested to improve accuracy of oil spill surveillance. Texture measures, extracted from GLCM (gray-level co-occurrence matrices), are analyzed, which indicates that mean, contrast, variance, entropy, and dissimilarity are effective for oil identification. SAR image is characterized by high resolution and speckle noise, which limits pixel-based approaches. , object oriented image analysis is used to extract oil slick. This algorithm typically incorporates both spectral and spatial information in the image segmentation phase. Results indicate that texture features extend features of interested objects, and help to improve oil spill surveillance."}]