IEEE Geoscience and Remote Sensing Letters最新文献

{"title":"Pre-segmentation of point cloud based on centroid matrix of streak tube imaging LiDAR","authors":"Xing Wang, Zhaodong Chen, Chaowei Dong, Zhigang Fan, Zhiwei Dong, Rongwei Fan, Pengfei Hao, Deying Chen","doi":"10.1109/lgrs.2024.3458913","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3458913","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"19 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Target-driven Real-time Geometric Processing Based on VLR Model for LuoJia3-02 Satellite","authors":"Rongfan Dai, Wang Mi, Ru Chen, Zhiqi Zhang","doi":"10.1109/lgrs.2024.3452793","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3452793","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"58 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A “Difference In Difference” based method for unsupervised change detection in season-varying images","authors":"Yuheng Yuan, Xuehong Chen, Kai Tang, Jin Chen","doi":"10.1109/lgrs.2024.3454629","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3454629","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"3 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Potential of Orbital VHF Sounding Radars to Locate Shallow Aquifers in Arid Areas Using Reflectometry","authors":"Sanchari Thakur, Essam Heggy, Mark S. Haynes, Elizabeth M. Palmer, Lorenzo Bruzzone","doi":"10.1109/lgrs.2024.3445726","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3445726","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"46 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A two-branch neural network for gas-bearing prediction using latent space adaptation for data augmentation-An application for deep carbonate reservoirs","authors":"Shuying Ma, Junxing Cao","doi":"10.1109/lgrs.2024.3436836","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3436836","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"55 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual Selection and Multi-Stage Reasoning for RSVG","authors":"Yueli Ding, Haojie Xu, Di Wang, Ke Li, Yumin Tian","doi":"10.1109/lgrs.2024.3386311","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3386311","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"206 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Method for Airborne Array-InSAR Tomography Based on Off-grid Target Modeling and Group Sparsity","authors":"Qichang Guo, Xingdong Liang, Yanlei Li, Yujie Dai","doi":"10.1109/lgrs.2024.3385999","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3385999","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"117 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AccuLiteFastNet: A Remote Sensing Object Detection Model Combining High Accuracy, Lightweight Design, and Fast Inference Speed","authors":"Ruihan Bai, Feng Shen, Mingkang Wang, Jiahui Lu, Zhiping Zhang","doi":"10.1109/lgrs.2024.3370194","DOIUrl":"https://doi.org/10.1109/lgrs.2024.3370194","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"295 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139977809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring ten insect pests in selected orchards in three Azorean Islands: The project CUARENTAGRI.","authors":"Lucas Lamelas-López, Paulo A V Borges, Elisa Tarantino, Maria Manuela Juliano, Jose Carlos Fontes, Cristina Moules, Ricardo Rodrigues, Jessica Machado, José Adriano Mota, Beatriz Sousa, Helder Amaral, Maria da Conceição Filipe, David H Lopes","doi":"10.3897/BDJ.11.e100942","DOIUrl":"10.3897/BDJ.11.e100942","url":null,"abstract":"<p><strong>Background: </strong>The data we present are part of the CUARENTAGRI project, which involves all archipelagos of the Macaronesia (Azores, Madeira, Canary Islands and Cabo Verde). The project aims to: i) identify and evaluate the risks associated with the introduction of new arthropod pests; ii) study the population dynamics of selected arthropod pest species currently responsible for the damage of key target crops and iii) develop monitoring systems, based on prediction and/or population dynamics of the crop pests, creating warnings and a phytosanitary prevention system. In this contribution, we compile data for three Azorean Islands (Terceira, São Jorge and São Miguel Islands), where pheromone-baited traps were placed in pastures, potato fields and several orchards' types (apples, banana, chestnuts, olives, orange and strawberry), during three consecutive years (2020, 2021 and 2022).</p><p><strong>New information: </strong>A total of 114,827 specimens of insects (Arthropoda, Insecta) were collected, belonging to four orders, six families and ten recorded pest species. A total of eight species are considered introduced (<i>Cosmopolitessordidus</i> (Germar, 1824), <i>Drosophilasuzukii</i> (Matsumura, 1931), <i>Bactroceraoleae</i> (Rossi, 1790), <i>Ceratitiscapitata</i> (Wiedemann, 1824), <i>Phthorimaeaoperculella</i> (Zeller, 1873), <i>Cydiapomonella</i> (Linnaeus, 1758), <i>Cydiasplendana</i> (Hübner, 1799) and <i>Grapholitamolesta</i> (Busck, 1916); n = 84,986 specimens) and two native non-endemic (<i>Mythimnaunipuncta</i> (Haworth, 1809) and <i>Spodopteralittoralis</i> (Boisduval, 1833); n = 17,465 specimens). This study intended to contribute to a better knowledge of the arthropods pests that can affect the Azorean crops and will serve as a baseline for future monitoring actions, pest risk assessments and prevention systems.</p>","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"5 1","pages":"e100942"},"PeriodicalIF":1.3,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10848638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84455484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outlier-Robust Passive Elliptic Target Localization","authors":"Wenxin Xiong, H. So","doi":"10.1109/LGRS.2023.3270929","DOIUrl":"https://doi.org/10.1109/LGRS.2023.3270929","url":null,"abstract":"The inadvertent incorporation of deviating samples into the measured indirect and direct path delays is generally unavoidable in the practical implementation of passive elliptic localization. These outlying observations, however, can do great harm to the positioning performance if left untreated. Here, a robust statistics-based method is put forward as the solution to such a problem. The non-outlier-resistant $ell _{2}$ cost function in the traditional least squares (LS) formulation is replaced by a certain differentiable error measure that possesses resistance to the presence of abnormally large fitting errors. A globally optimized hybrid quasi-Newton and particle swarm optimization (PSO) algorithm is then developed for an efficient realization of the robust estimator. The strong capability of the presented approach to deal with outliers and its applicability to typical adverse localization environments are demonstrated via simulations.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"20 1","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62503900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}