Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Qisen Shang"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103556- (2023)
Most urban applications necessitate building footprints in the form of concise vector graphics with sharp boundaries rather than pixel-wise raster images. This need contrasts with the majority of existing methods, which typically generate over-smooth
Externí odkaz:
https://doaj.org/article/05ceb26197df4a51a29e7428f795f61a
Autor:
Li Chen, Yulin Ding, Saeid Pirasteh, Han Hu, Qing Zhu, Xuming Ge, Haowei Zeng, Haojia Yu, Qisen Shang, Yongfei Song
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 110, Iss , Pp 102807- (2022)
Predicting a landslide susceptibility map (LSM) is essential for risk recognition and disaster prevention. Despite the successful application of data-driven approaches for LSM prediction, most methods generally apply a single global model to predict
Externí odkaz:
https://doaj.org/article/52d789b8f6a546e7a545d8030db7a14b
Autor:
Han Hu, Xinrong Liang, Yulin Ding, Xuekun Yuan, Qisen Shang, Bo Xu, Xuming Ge, Min Chen, Ruofei Zhong, Qing Zhu
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 192:215-231
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b3408ce901e5d83e98005dfbeec962
https://doi.org/10.1016/j.isprsjprs.2022.08.014
https://doi.org/10.1016/j.isprsjprs.2022.08.014