Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jiehai Cheng"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5580-5593 (2024)
Using object-based deep learning for the urban land cover classification has become a mainstream method. This study proposed an urban land cover classification method based on segments’ object features, deep features, and spatial association featur
Externí odkaz:
https://doaj.org/article/c97a81c957c84d2189357cff7cf68923
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Rapidly and accurately extracting built-up areas is an essential prerequisite of urbanization research. There have been many studies on the extraction of built-up areas using remote sensing technologies. So far, few studies have been conducted to eva
Externí odkaz:
https://doaj.org/article/c423937a6a6a473188d04fa80b75bd65
Publikováno v:
Journal of Applied Remote Sensing. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5886d3fb3286152f3a7430c3f52a58de
https://doi.org/10.1117/1.jrs.16.048506
https://doi.org/10.1117/1.jrs.16.048506
Publikováno v:
International Journal of Remote Sensing. 38:5357-5373
Shadows in high-spatial-resolution remote-sensing images become more pronounced. The detection of shadows is an essential requirement for both detailed high-spatial land-cover classification and applications such as three-dimensional (3D) reconstruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3da5de83043c70d4a12a21cb6735243
https://doi.org/10.1080/01431161.2017.1338785
https://doi.org/10.1080/01431161.2017.1338785
Publikováno v:
IGARSS
Many researchers focus on the problem of accurately and rapidly classifying regional landslide hazard, whose spectrum and shape are complicated and varied in remote sensing images. A large number of training examples with labels are necessary to cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a610ca39ba0cc51b645a49a098f81a1e
https://doi.org/10.1109/igarss.2019.8897859
https://doi.org/10.1109/igarss.2019.8897859
Autor:
Huazhu Xue, Xiao-Ping Zhang, Xiaoguang Jiang, Guotao Dong, Hua Wu, Jiehai Cheng, Caixia Gao, Dong Fan
Publikováno v:
IGARSS
Accurate spatialized daily precipitation data plays an important role in meteorology, hydrology and ecology. Tropical Rainfall Measuring Mission (TRMM) precipitation data has been widely used in recent years for the relatively high resolution and lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf324377fc59072e105f62e31930d4d8
https://doi.org/10.1109/igarss.2019.8899766
https://doi.org/10.1109/igarss.2019.8899766
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 53:5021-5035
Sea surface temperature (SST) plays a vital role in the Earth's atmosphere and climate systems. Complete and accurate SST observations are in great demand for forecasting tropical cyclones and projecting climate change. Satellite remote sensing has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::341528db94ed97fb16d4be960bff8962
https://doi.org/10.1109/tgrs.2015.2416351
https://doi.org/10.1109/tgrs.2015.2416351
Publikováno v:
IGARSS
The types of remote sensing data are various but each plays a significant role in the ability to analyze the landslides. To detect landslides with satellite images of two different spatial resolutions in a weakly supervised way, this paper presents a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b95ffbccd30c927c1600a5e6b5691f
https://doi.org/10.1109/igarss.2017.8128072
https://doi.org/10.1109/igarss.2017.8128072
Publikováno v:
International Journal of Remote Sensing. 35:3816-3839
Image segmentation quality significantly affects subsequent image classification accuracy. It is necessary to develop effective methods for assessing image segmentation quality. In this paper, we present a novel method for assessing the segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677ad803de0e62611a6a7e43a3c7c03e
https://doi.org/10.1080/01431161.2014.919678
https://doi.org/10.1080/01431161.2014.919678
Publikováno v:
Australian Meteorological and Oceanographic Journal. 63:391-402
The Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Microwave Scanning Radiometer (AMSR-E) aboard the NASA Earth Observation System’s Aqua satellite have been measuring the sea surface temperature (SST) since 2002. Although s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e29a75250c8c79be631122402627f49
https://doi.org/10.22499/2.6303.004
https://doi.org/10.22499/2.6303.004