Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhonghui Lv"'
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTCoastal wetlands, especially tidal marshes, play a crucial role in supporting ecosystems and slowing shoreline erosion. Accurate and cost-effective identification and classification of various marsh types, such as high and low marshes, are im
Externí odkaz:
https://doaj.org/article/5b14975723984b7594031aaab41bd9d8
Autor:
Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5668-5679 (2024)
Many areas of the world are without basic information on the socioeconomic well-being of the residing population due to limitations in existing data collection methods. Overhead images obtained remotely, such as from satellite or aircraft, can help s
Externí odkaz:
https://doaj.org/article/cb1e829b75bb462caa9c9400c75f8c84
Publikováno v:
Sensors, Vol 23, Iss 2, p 762 (2023)
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making problems, and substantial progress has been achieved, especially in autonomous robotic skill learning. However, it is always difficult to deploy DRL
Externí odkaz:
https://doaj.org/article/aa0e3356f4574a6c82ece32014285bdc
Publikováno v:
Computers & Geosciences. 122:103-112
Interdisciplinary use of geospatial data requires the integration of data from a breadth of sources, and frequently involves the harmonization of different methods of sampling, measurement, and technical data types. These integrative efforts are ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92228cf529399f414be6e895bee452a1
https://doi.org/10.1016/j.cageo.2018.10.009
https://doi.org/10.1016/j.cageo.2018.10.009