Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tianbo Sui"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103521- (2023)
Accurate landslide detection is essential for disaster mitigation and relief. In this study, we develop a feature enhancement framework that integrates attention and multiscale mechanisms with U-Net (AMU-Net) for landslide detection. The framework ha
Externí odkaz:
https://doaj.org/article/4567271bbc75474caa3d5ddfd8349790
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Detecting and analyzing changes of water resources is critical for human survival and societal development in the Qinghai Tibet Plateau (QTP). We implemented the cosine similarity method to complete the migration of samples and achieve a more accurat
Externí odkaz:
https://doaj.org/article/d83079fc0f4e44c0a7023e2725f76d29
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
The effects of geohazards on the ecological environment and ecological spatial pattern have received wide attention from scholars. However, the positive role played by ecological restoration projects on the environment and in the reduction of geohaza
Externí odkaz:
https://doaj.org/article/6df1789baea5422aa8e996215c6ea901
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 107, Iss , Pp 102681- (2022)
Reliable landslide susceptibility mapping (LSM) is essential for disaster prevention and mitigation. This study develops a deep learning framework that integrates spatial response features and machine learning classifiers (SR-ML). The method has thre
Externí odkaz:
https://doaj.org/article/bcf1ddca2cca41fcbf6fbc548e405f80
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 87:639-648
Due to the large volume and high redundancy of point clouds, there are many dilemmas in road-marking extraction algorithms, especially from uneven lidar point clouds. To extract road markings efficiently, this study presents a novel method for handli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e32a75ca37f45733f6f8dc7d33286156
https://doi.org/10.14358/pers.20-00099
https://doi.org/10.14358/pers.20-00099
Publikováno v:
Photogrammetric Engineering & Remote Sensing; Sep2021, Vol. 87 Issue 9, p639-648, 10p