{"title":"A SAR Deceptive Jamming Suppression Method Based on PRI Variation Design and Multi-Channel Principle","authors":"Haixu Shi, Zhongqiu Xu, Guangzuo Li, Kuan Lin, Tianqu Liu, Wen Hong","doi":"10.1109/tgrs.2025.3560322","DOIUrl":"https://doi.org/10.1109/tgrs.2025.3560322","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"41 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Bairam Zadeh, A. Elmi, V. Moghaddam, S. MahmoudZadeh
{"title":"A Conceptual High Level Multi-Agent System for Wildfire Management","authors":"R. Bairam Zadeh, A. Elmi, V. Moghaddam, S. MahmoudZadeh","doi":"10.1109/tgrs.2025.3559062","DOIUrl":"https://doi.org/10.1109/tgrs.2025.3559062","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"27 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection and Characterization of Polarimetric Radar Bright Band Signatures in Northern Taiwan","authors":"Jui Le Loh, Wei-Yu Chang, Yu-Chieng Liou, Pin-Fang Lin, Pao-Liang Chang","doi":"10.1109/tgrs.2025.3562378","DOIUrl":"https://doi.org/10.1109/tgrs.2025.3562378","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"7 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Array-Aided GNSS for Precise Determination of Ionospheric and Tropospheric Delays with Integer Ambiguity Resolution","authors":"Xingyu Chen, Xiaolong Mi, Yunbin Yuan, Ahmed El-Mowafy, Hongjin Xu, Wenwu Ding","doi":"10.1109/tgrs.2025.3562224","DOIUrl":"https://doi.org/10.1109/tgrs.2025.3562224","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"4 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Lightweight Semantic Segmentation Network Based on Self-attention Mechanism and State Space Model for Efficient Urban Scene Segmentation","authors":"Langping Li, Jizheng Yi, Hui Fan, Hui Lin","doi":"10.1109/tgrs.2025.3562185","DOIUrl":"https://doi.org/10.1109/tgrs.2025.3562185","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"4 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Congcong Zhao;Jianguang Wen;Dongqin You;Yong Tang;Yuan Han;Guokai Liu;Kexin Wei;Huaijing Wang;Qinhuo Liu
{"title":"Modeling Top-of-Atmosphere Anisotropic Reflectance of Discrete Forests Over Sloped Surface","authors":"Congcong Zhao;Jianguang Wen;Dongqin You;Yong Tang;Yuan Han;Guokai Liu;Kexin Wei;Huaijing Wang;Qinhuo Liu","doi":"10.1109/TGRS.2025.3557557","DOIUrl":"10.1109/TGRS.2025.3557557","url":null,"abstract":"Characterizing the anisotropic features at the top of atmosphere (TOA) is crucial for vegetation monitoring and retrieval of biophysical parameters. The core challenge lies in modeling the mutual interactions between land surface and atmosphere, particularly in the context of rugged terrains and cloudy conditions. The GOSAILTA is proposed to extend the top-of-canopy (TOC) anisotropic reflectance geometric optical and mutual shadowing and scattering-from-arbitrarily-inclined-leaves model coupled with topography (GOSAILT) model to TOA reflectance/radiance by integrating Santa Barbara DISORT atmospheric radiative transfer (SBDART) model. The interactions between atmosphere and land surface are characterized for the effects of the sloped surface and its surrounding terrains under both clear and cloudy conditions. The model was validated against discrete anisotropic radiative transfer (DART) simulations, airborne observations from wide-angle infrared dual-model line/area array scanner (WIDAS), and satellite observations from HJ-1A/B constellation charge-coupled device (CCD). Results demonstrate high overall accuracy in the red band (coefficient of determination (<inline-formula> <tex-math>$R^{2}$ </tex-math></inline-formula>) =0.993; root-mean-square error (RMSE) =0.008; and mean absolute percentage error (MAPE) =5.481%) and near-infrared (NIR) band (<inline-formula> <tex-math>$R^{2}=0.933$ </tex-math></inline-formula>, RMSE =0.025; and MAPE =6.227%) compared to DART simulations. The simulations show strong agreement with WIDAS and HJ, achieving an <inline-formula> <tex-math>$R^{2}$ </tex-math></inline-formula> of 0.9. However, the accuracy is slightly lower for top-of-cloud reflectance, with an <inline-formula> <tex-math>$R^{2}$ </tex-math></inline-formula> and MAPE of 0.311 and 14.972%, respectively, primarily due to limitations in cloud parameterization.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"63 ","pages":"1-11"},"PeriodicalIF":7.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}