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• OAI收割 [39]
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• 2025 [3]
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筛选

浏览/检索结果: 共40条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 A New and Improved YOLO Model for Individual Litchi Crown Detection with High-Resolution Satellite RGB Images 期刊论文  OAI收割 AGRONOMY-BASEL, 2025, 卷号: 15, 期号: 10, 页码: 2439 作者:  Xia, Tianshun;  Chen, Pengfei;  Liu, Xiaoke   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/19 improved YOLO model  litchi  individual tree crown detection  high-resolution satellite image   GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 142, 页码: 104709 作者:  Chen, Ke;  Wang, Yang;  Huang, Cunrui;  Wang, Jing;  Li, Sabrina L.   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 Green space classification  High-resolution satellite images  Dual-encoder structure  Transformer  Boundary loss   Assessment of Satellite-Derived FAPAR Products With Different Spatial Resolutions for Gross Primary Productivity Estimation 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 3087-3098 作者:  Zhang, Xiyu;  Jin, Huaan;  Zhao, Wei;  Yin, Gaofei;  Xie, Xinyao   |  收藏  |  浏览/下载：90/0  |  提交时间：2025/02/21 Fraction of absorbed photosynthetically active radiation (FAPAR)  gross primary productivity (GPP)  HIgh-spatial-resolution Global LAnd Surface Satellite (Hi-GLASS)  light use efficiency model  MODerate resolution Imaging Spectroradiometer (MODIS)  Fraction of absorbed photosynthetically active radiation (FAPAR)  gross primary productivity (GPP)  HIgh-spatial-resolution Global LAnd Surface Satellite (Hi-GLASS)  light use efficiency model  MODerate resolution Imaging Spectroradiometer (MODIS)   A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13 作者:  Zhang, Sen;  Cui, Yaoping;  Zhou, Yan;  Dong, Junwu;  Li, Wanlong   |  收藏  |  浏览/下载：66/0  |  提交时间：2024/04/01 Farming  Vegetation  Forestry  Erosion  Surveys  Feature extraction  Satellite images  Adaptive iterative erosion  Eucalyptus plantations  high-resolution satellite image  image morphology  single-tree mapping   Mapping Fire Severity in Southwest China Using the Combination of Sentinel 2 and GF Series Satellite Images 期刊论文  OAI收割 SENSORS, 2023, 卷号: 23, 期号: 5, 页码: 2492 作者:  Zhang, Xiyu;  Fan, Jianrong;  Zhou, Jun;  Gui, Linhua;  Bi, Yongqing   |  收藏  |  浏览/下载：47/0  |  提交时间：2024/05/23 fire severity  high-resolution satellite images  GF series satellite  machine learning  random forest   Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 36-48 作者:  Wu, Shengbiao;  Wang, Jing;  Yan, Zhengbing;  Song, Guangqin;  Chen, Yang   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/02/24 Multi-scale remote sensing  Phenocam  High-resolution satellite  MODIS  Individual tree-crown  Leaf phenology   A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27 作者:  Li, Lianfa   |  收藏  |  浏览/下载：52/0  |  提交时间：2020/05/19 PM2.5  satellite AOD  deep learning  autoencoder  residual network  exposure estimation  high spatiotemporal resolution   A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27 作者:  Li, Lianfa   |  收藏  |  浏览/下载：55/0  |  提交时间：2020/05/19 PM2.5  satellite AOD  deep learning  autoencoder  residual network  exposure estimation  high spatiotemporal resolution   Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval 期刊论文  OAI收割 Remote Sensing of Environment, 2020, 卷号: 245, 页码: 111852 作者:  Duan, Si-Bo;  Li, Zhao-Liang;  Gao, Caixia;  Zhao, Wei;  Wu, Hua   |  收藏  |  浏览/下载：62/0  |  提交时间：2020/06/12 High spatial resolution satellite imagery  High spatial resolution thermal infrared imagery  Land surface temperature retrievals  Radiative Transfer Equation(RTE)  Radiative transfer simulations  Radiative transfer theory  Single-channel algorithms  Visible and near infrared   Introducing a special collection of papers in the Journal of High Energy Astrophysics on the Early Results of China's 1st X-ray Astronomy Satellite: Insight-HXMT 期刊论文  OAI收割 Journal of High Energy Astrophysics, 2020, 卷号: 27, 页码: 51-52 作者:  HXMT   |  收藏  |  浏览/下载：73/0  |  提交时间：2022/02/08 Astrophysics - High Energy Astrophysical Phenomena  Abstract: Insight-HXMT is the first Chinese X-ray astronomical mission, launched successfully on June 15, 2017, from China's Jiuquan Satellite Launch Center. Insight-HXMT was designed to have a broad energy coverage in X-rays, from 1-250 keV, with excellent timing and adequate energy resolution at soft X-rays, and the largest effective area at hard X-rays. This allows, in particular, to observe bright sources like X-ray binaries (XRBs) in their bright/outburst states with high cadence and high statistics at hard and soft X-rays at once. It was then expected that the Insight-HXMT mission will bring us new insights regarding the characteristics of several source classes. Examples include characterizing High-Mass X-ray Binaries (HMXBs) and the outburst evolution of Low-Mass X-ray Binaries (LMXBs). For instance, in HMXB systems, the region around their Alfven radius that is responsible to determine whether accretion or propeller occurs, or the region around the NS magnetic pole where the intense X-rays are supposed to be produced are specially appealing targets of study. For the LMXBs, the evolution the outburst and the properties of the compact objects themselves are obvious priority targets for Insight-HXMT. Due to the broad coverage in energy, Insight-HXMT is specially well suited to study the influence of thermonuclear (type-I) X-ray bursts upon the surrounding environment.