{"title":"基于Shannon、模糊和余弦相似熵函数的差分进化算法在卫星图像分割中的比较分析","authors":"Neha Bagwari, Sushil Kumar, Vivek Singh Verma","doi":"10.1109/ICICT55121.2022.10064605","DOIUrl":null,"url":null,"abstract":"This paper illustrates a comparative analysis of thresholding based novel technique for satellite image segmentation. Differential evolution algorithm is implemented for multilevel thresholding of colored satellite images using Shannon, Fuzzy, and Cosine similarity entropy functions. Segmentation is a vital step and prerequisite for understanding satellite images so that the information can be utilized in several application areas such as crop monitoring, forest monitoring, transformation changes on land usage, disaster and crisis support management systems. The evaluation of the implemented algorithm is carried out with the help of statistical measures such as MSE, PSNR, and SSIM.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparative Analysis of Differential Evolution Algorithm Using Shannon, Fuzzy, and Cosine Similarity Entropy Functions for Satellite Image Segmentation\",\"authors\":\"Neha Bagwari, Sushil Kumar, Vivek Singh Verma\",\"doi\":\"10.1109/ICICT55121.2022.10064605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper illustrates a comparative analysis of thresholding based novel technique for satellite image segmentation. Differential evolution algorithm is implemented for multilevel thresholding of colored satellite images using Shannon, Fuzzy, and Cosine similarity entropy functions. Segmentation is a vital step and prerequisite for understanding satellite images so that the information can be utilized in several application areas such as crop monitoring, forest monitoring, transformation changes on land usage, disaster and crisis support management systems. The evaluation of the implemented algorithm is carried out with the help of statistical measures such as MSE, PSNR, and SSIM.\",\"PeriodicalId\":181396,\"journal\":{\"name\":\"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"volume\":\"248 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT55121.2022.10064605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT55121.2022.10064605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Analysis of Differential Evolution Algorithm Using Shannon, Fuzzy, and Cosine Similarity Entropy Functions for Satellite Image Segmentation
This paper illustrates a comparative analysis of thresholding based novel technique for satellite image segmentation. Differential evolution algorithm is implemented for multilevel thresholding of colored satellite images using Shannon, Fuzzy, and Cosine similarity entropy functions. Segmentation is a vital step and prerequisite for understanding satellite images so that the information can be utilized in several application areas such as crop monitoring, forest monitoring, transformation changes on land usage, disaster and crisis support management systems. The evaluation of the implemented algorithm is carried out with the help of statistical measures such as MSE, PSNR, and SSIM.
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