{"title":"遥感图像深度学习物体检测方法综述","authors":"Xueying Wang, Weishan Lu, Feng Zhang, Yuan D. Huang, Zhichao Sha, Shilin Zhou","doi":"10.1117/12.3008145","DOIUrl":null,"url":null,"abstract":"With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"50 8","pages":"129631Q - 129631Q-7"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A review of deep learning object detection methods for remote sensing images\",\"authors\":\"Xueying Wang, Weishan Lu, Feng Zhang, Yuan D. Huang, Zhichao Sha, Shilin Zhou\",\"doi\":\"10.1117/12.3008145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.\",\"PeriodicalId\":502341,\"journal\":{\"name\":\"Applied Optics and Photonics China\",\"volume\":\"50 8\",\"pages\":\"129631Q - 129631Q-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Optics and Photonics China\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3008145\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Optics and Photonics China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3008145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review of deep learning object detection methods for remote sensing images
With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.