{"title":"基于mrf的遥感图像分割多智能体系统","authors":"Huifang Bao, Linli Zhou, Lei Liu, Yue Wu","doi":"10.1109/CIIS.2017.44","DOIUrl":null,"url":null,"abstract":"Remote sensing is a technology for remote real-time monitoring surface information, remote sensing images are valuable in civil and military applications. In this paper, aiming at the design of remote sensing image segmentation algorithm, we propose a remote sensing image segmentation method based on multi-agent and MRF. The proposed method extracts and fuses the intensity, texture, edges, and the spatial information in collaboration and parallization, and it provides theoretical and technical support for remote sensing image segmentation task.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A MRF-based Multi-agent System for Remote Sensing Image Segmentation\",\"authors\":\"Huifang Bao, Linli Zhou, Lei Liu, Yue Wu\",\"doi\":\"10.1109/CIIS.2017.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote sensing is a technology for remote real-time monitoring surface information, remote sensing images are valuable in civil and military applications. In this paper, aiming at the design of remote sensing image segmentation algorithm, we propose a remote sensing image segmentation method based on multi-agent and MRF. The proposed method extracts and fuses the intensity, texture, edges, and the spatial information in collaboration and parallization, and it provides theoretical and technical support for remote sensing image segmentation task.\",\"PeriodicalId\":254342,\"journal\":{\"name\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIIS.2017.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing Intelligence and Information System (CIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIIS.2017.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MRF-based Multi-agent System for Remote Sensing Image Segmentation
Remote sensing is a technology for remote real-time monitoring surface information, remote sensing images are valuable in civil and military applications. In this paper, aiming at the design of remote sensing image segmentation algorithm, we propose a remote sensing image segmentation method based on multi-agent and MRF. The proposed method extracts and fuses the intensity, texture, edges, and the spatial information in collaboration and parallization, and it provides theoretical and technical support for remote sensing image segmentation task.
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