{"title":"高光谱图像去噪与目标检测研究现状","authors":"Guanzhe Li, Hongxiong Hao, Lingda Wu, Boyu Liu","doi":"10.1109/ICGMRS55602.2022.9849223","DOIUrl":null,"url":null,"abstract":"Hyperspectral images technology can greatly enhance the extraction ability of ground object information. It is a research hotspot and frontier field in the field of remote sensing in recent years, and has great application value and broad development prospects in many related fields This paper summarizes the methods of denoising and target detection in hyperspectral images.To help researchers better sort out the relevant algorithms.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"11 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Current Situation of Denoising And Target Detection In Hyperspectral Images\",\"authors\":\"Guanzhe Li, Hongxiong Hao, Lingda Wu, Boyu Liu\",\"doi\":\"10.1109/ICGMRS55602.2022.9849223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hyperspectral images technology can greatly enhance the extraction ability of ground object information. It is a research hotspot and frontier field in the field of remote sensing in recent years, and has great application value and broad development prospects in many related fields This paper summarizes the methods of denoising and target detection in hyperspectral images.To help researchers better sort out the relevant algorithms.\",\"PeriodicalId\":129909,\"journal\":{\"name\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"volume\":\"11 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGMRS55602.2022.9849223\",\"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 Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current Situation of Denoising And Target Detection In Hyperspectral Images
Hyperspectral images technology can greatly enhance the extraction ability of ground object information. It is a research hotspot and frontier field in the field of remote sensing in recent years, and has great application value and broad development prospects in many related fields This paper summarizes the methods of denoising and target detection in hyperspectral images.To help researchers better sort out the relevant algorithms.