机构

• 地理科学与资源研究所 [7]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [5]
• SCI/SSCI论文 [4]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2022 [2]
• 2016 [2]
• 2015 [2]
• 2014 [1]
• 2013 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A practical two-step framework for all-sky land surface temperature estimation 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 303, 页码: 22 作者:  Zhang, Huanyu;  Tang, Bo-Hui;  Li, Zhao-Liang   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/04/01 All -sky land surface temperature (LST)  Hypothetical clear -sky LST  Surface energy balance  Cloud radiative forcing effect  Cloudy -sky conditions   Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者:  Zhang, Huanyu;  Tang, Bo-Hui   |  收藏  |  浏览/下载：40/0  |  提交时间：2022/09/21 All-sky conditions  data-driven  Meteosat Second Generation (MSG)  random forest (RF)  spectral transformation  surface upward longwave radiation (SULR)   Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者:  Zhang, Huanyu;  Tang, Bo-Hui   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/09/21 All-sky conditions  data-driven  Meteosat Second Generation (MSG)  random forest (RF)  spectral transformation  surface upward longwave radiation (SULR)   Spatial Downscaling of MODIS Land Surface Temperatures Using Geographically Weighted Regression: Case Study in Northern China SCI/SSCI论文  OAI收割 2016 作者:  Duan S. B.;  Li, Z. L.   |  收藏  |  浏览/下载：21/0  |  提交时间：2017/11/09 Advanced spaceborne thermal emission and reflection radiometer (ASTER)  downscaling  geographically weighted regression (GWR)  land surface  temperature (LST)  moderate resolution imaging spectroradiometer (MODIS)  clear-sky conditions  urban heat-island  atmospheric correction  thermal  imagery  diurnal cycles  satellite data  energy fluxes  soil-moisture  time-series  evapotranspiration   Spatial Downscaling of MODIS Land Surface Temperatures Using Geographically Weighted Regression: Case Study in Northern China SCI/SSCI论文  OAI收割 2016 作者:  Duan S. B.;  Li, Z. L.;  Yang, J. 收藏  |  浏览/下载：33/0  |  提交时间：2016/12/16 Advanced spaceborne thermal emission and reflection radiometer (ASTER)  downscaling  geographically weighted regression (GWR)  land surface  temperature (LST)  moderate resolution imaging spectroradiometer (MODIS)  clear-sky conditions  urban heat-island  atmospheric correction  thermal  imagery  diurnal cycles  satellite data  energy fluxes  soil-moisture  time-series  evapotranspiration   Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions 期刊论文  OAI收割 Remote Sensing, 2015, 卷号: 7, 期号: 10, 页码: 13410-13435 作者:  Zeng, Yelu;  Li, Jing;  Liu, Qinhuo;  Hu, Ronghai;  Mu, Xihan 收藏  |  浏览/下载：149/0  |  提交时间：2015/12/21 leaf area index  near-surface remote sensing  digital photography  gap fraction  clumping index  sunlit foliage component  clear-sky conditions   Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions 期刊论文  OAI收割 Remote Sensing, 2015, 卷号: 7, 期号: 10, 页码: 4489-4501 作者:   收藏  |  浏览/下载：22/0  |  提交时间：2016/04/20 leaf area index  near-surface remote sensing  digital photography  gap fraction  clumping index  sunlit foliage component  clear-sky conditions   Biophysical Controls on Light Response of Net CO2 Exchange in a Winter Wheat Field in the North China Plain SCI/SSCI论文  OAI收割 2014 作者:  Li J. 收藏  |  浏览/下载：32/0  |  提交时间：2014/12/24 carbon-dioxide exchange  environmental controls  ecosystem exchange  blue-light  tower measurements  diffuse-radiation  temperate forest  sky  conditions  mixed forest  photosynthesis   Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity SCI/SSCI论文  OAI收割 2013 He M. Z.; Ju W. M.; Zhou Y. L.; Chen J. M.; He H. L.; Wang S. Q.; Wang H. M.; Guan D. X.; Yan J. H.; Li Y. N.; Hao Y. B.; Zhao F. H. 收藏  |  浏览/下载：60/0  |  提交时间：2014/12/24 Gross primary productivity  Two-leaf light use efficiency (TL-LUE)  model  MOD17 algorithm  Sunlit and shaded leaves  photosynthetically active radiation  net ecosystem exchange  north china  plain  solar-radiation  forest ecosystems  diffuse-radiation  deciduous  forest  carbon-dioxide  sky conditions  modis   Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Xue X.-C. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper  in view of the low-flying target near the sea is always above the sea-level line  we can first locate the sea-level line  and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed  and the executive time of target segmentation is also much reduced. A new method is proposed  which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR  and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line  lastly uses the centroid tracking algorithm to detect and track the target. In the experiment  high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast  and eliminate the negative impact of the clutter caused by waves and clouds  and capture and track target real-timely and accurately.