{"title":"利用优化锚点框和边缘增强进行高分辨率遥感图像滑坡检测的研究","authors":"Kun Wang, Ling Han, Juan Liao","doi":"10.1080/22797254.2023.2289616","DOIUrl":null,"url":null,"abstract":"This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. Using the You Only Look Once...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"3 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement\",\"authors\":\"Kun Wang, Ling Han, Juan Liao\",\"doi\":\"10.1080/22797254.2023.2289616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. Using the You Only Look Once...\",\"PeriodicalId\":49077,\"journal\":{\"name\":\"European Journal of Remote Sensing\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Remote Sensing\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/22797254.2023.2289616\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Remote Sensing","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/22797254.2023.2289616","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REMOTE SENSING","Score":null,"Total":0}
A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement
This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. Using the You Only Look Once...
期刊介绍:
European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include:
-land use/land cover
-geology, earth and geoscience
-agriculture and forestry
-geography and landscape
-ecology and environmental science
-support to land management
-hydrology and water resources
-atmosphere and meteorology
-oceanography
-new sensor systems, missions and software/algorithms
-pre processing/calibration
-classifications
-time series/change analysis
-data integration/merging/fusion
-image processing and analysis
-modelling
European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.