Pub Date : 2024-02-11DOI: 10.1080/2150704x.2024.2313611
Lu Jia, Xiaopeng Leng, Xingchen Wang, Manyuan Nie
To address the landslide recognition problem in remote sensing images, this paper designs a visual transformer network model based on DEM (digital elevation model) feature enhancement, which is exp...
{"title":"Recognizing landslides in remote sensing images based on enhancement of information in digital elevation models","authors":"Lu Jia, Xiaopeng Leng, Xingchen Wang, Manyuan Nie","doi":"10.1080/2150704x.2024.2313611","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2313611","url":null,"abstract":"To address the landslide recognition problem in remote sensing images, this paper designs a visual transformer network model based on DEM (digital elevation model) feature enhancement, which is exp...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, some hyperspectral image (HSI) classification methods based on deep models have shown excellent performance. Most deep models receive three-dimensional (3D) block structures as inp...
{"title":"A hyperspectral image classification method based on feature enhancement and a hybrid deformable convolution network","authors":"Yunji Zhao, Zhihao Zhang, Wenming Bao, Xiaozhuo Xu, Zhifang Gao","doi":"10.1080/2150704x.2024.2311782","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2311782","url":null,"abstract":"In recent years, some hyperspectral image (HSI) classification methods based on deep models have shown excellent performance. Most deep models receive three-dimensional (3D) block structures as inp...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-07DOI: 10.1080/2150704x.2024.2313609
Baiyuan Ding, Ao Zhang, Rui Li
A 3-D scattering centre model-based synthetic aperture radar (SAR) automatic target recognition (ATR) method is proposed. Multi-level dominant scattering areas (DSAs) are generated from the test sa...
{"title":"A 3-D scattering centre model-based SAR target recognition method using multi-level region matching","authors":"Baiyuan Ding, Ao Zhang, Rui Li","doi":"10.1080/2150704x.2024.2313609","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2313609","url":null,"abstract":"A 3-D scattering centre model-based synthetic aperture radar (SAR) automatic target recognition (ATR) method is proposed. Multi-level dominant scattering areas (DSAs) are generated from the test sa...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1080/2150704x.2024.2311784
Zijian Sheng, Guo Cao, Hao Shi, Youqiang Zhang
Recently, convolutional neural network (CNN) and Transformer have been successfully applied in hyperspectral image (HSI) classification. Despite their success, some challenges persist. Popular HSI ...
{"title":"Hyperspectral image classification using a double-branch hierarchical partial convolution network","authors":"Zijian Sheng, Guo Cao, Hao Shi, Youqiang Zhang","doi":"10.1080/2150704x.2024.2311784","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2311784","url":null,"abstract":"Recently, convolutional neural network (CNN) and Transformer have been successfully applied in hyperspectral image (HSI) classification. Despite their success, some challenges persist. Popular HSI ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1080/2150704x.2024.2307321
Meiqing Yang, Qian Ni, Xiang Diao, Qiang Xiong
This study investigates the effectiveness of three bias correction methods: linear scaling (LS), local intensity scaling (LOCI), and quantile mapping (QM) in correcting the bias of Integrated Multi...
{"title":"Comparative analysis of bias correction methods for IMERG V06 precipitation products: case study in Guangxi, China","authors":"Meiqing Yang, Qian Ni, Xiang Diao, Qiang Xiong","doi":"10.1080/2150704x.2024.2307321","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2307321","url":null,"abstract":"This study investigates the effectiveness of three bias correction methods: linear scaling (LS), local intensity scaling (LOCI), and quantile mapping (QM) in correcting the bias of Integrated Multi...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139668912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1080/2150704x.2024.2305174
Yakun Han, Keren Dai, Tao Li, Zhong Lu, Xinzhe Yuan, Xianlin Shi, Chengcheng Liu, N. Wen
{"title":"Utilizing Gaofen-3 InSAR time series to reveal land subsidence in Beijing (China)","authors":"Yakun Han, Keren Dai, Tao Li, Zhong Lu, Xinzhe Yuan, Xianlin Shi, Chengcheng Liu, N. Wen","doi":"10.1080/2150704x.2024.2305174","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2305174","url":null,"abstract":"","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140476769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, the feasibility of current retrieval from Sentinel-1 (S-1) synthetic aperture radar (SAR) in the radar look/range direction is investigated. S-1 Ocean (OCN) products acquired in inte...
{"title":"Range current retrieval fromsentinel-1 SAR ocean product based on deep learning","authors":"Weizeng Shao, Yuhang Zhou, Yuyi Hu, Yan Li, Yashi Zhou, Qingjun Zhang","doi":"10.1080/2150704x.2024.2305176","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2305176","url":null,"abstract":"In this study, the feasibility of current retrieval from Sentinel-1 (S-1) synthetic aperture radar (SAR) in the radar look/range direction is investigated. S-1 Ocean (OCN) products acquired in inte...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139584369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.1080/2150704x.2024.2305624
Lakshmi Vijayan, Akshara Preethy Byju
Automated building extraction is imperative for several geospatial applications such as monitoring disaster-affected buildings and urban planning. Existing deep learning (DL)-based building extract...
{"title":"EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images","authors":"Lakshmi Vijayan, Akshara Preethy Byju","doi":"10.1080/2150704x.2024.2305624","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2305624","url":null,"abstract":"Automated building extraction is imperative for several geospatial applications such as monitoring disaster-affected buildings and urban planning. Existing deep learning (DL)-based building extract...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139584267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A severe red tide event, caused primarily by dinoflagellate Karenia selliformis, occurred during the autumn of 2021 in the waters off southeast Hokkaido and resulted in damage of $70 million to fis...
{"title":"Observations of water optical properties during red tide outbreaks off southeast Hokkaido by GCOM-C/SGLI: implications for the development of red tide algorithms","authors":"Eko Siswanto, Jutarak Luang-on, Kazunori Ogata, Hiroto Higa, Mitsuhiro Toratani","doi":"10.1080/2150704x.2024.2302948","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2302948","url":null,"abstract":"A severe red tide event, caused primarily by dinoflagellate Karenia selliformis, occurred during the autumn of 2021 in the waters off southeast Hokkaido and resulted in damage of $70 million to fis...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139506483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1080/2150704x.2024.2305177
Xu Sun, Yinhui Yu, Qing Cheng
Fusing complementary information of visible and infrared radiation modalities can improve object detection performance for unmanned aerial vehicle (UAV) remote sensing images under insufficient ill...
{"title":"Adaptive multimodal feature fusion with frequency domain gate for remote sensing object detection","authors":"Xu Sun, Yinhui Yu, Qing Cheng","doi":"10.1080/2150704x.2024.2305177","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2305177","url":null,"abstract":"Fusing complementary information of visible and infrared radiation modalities can improve object detection performance for unmanned aerial vehicle (UAV) remote sensing images under insufficient ill...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139481788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：