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[HTML][HTML] A review and meta-analysis of generative adversarial networks and their applications in remote sensing
Abstract Generative Adversarial Networks (GANs) are one of the most creative advances in
Deep Learning (DL) in recent years. The Remote Sensing (RS) community has adopted …
Deep Learning (DL) in recent years. The Remote Sensing (RS) community has adopted …
Exploiting time-series image-to-image translation to expand the range of wildlife habitat analysis
R Zheng, Z Luo, B Yan - Proceedings of the AAAI Conference on …, 2019 - ojs.aaai.org
Characterizing wildlife habitat is one of the main topics in animal ecology. Locational data
obtained from radio tracking and field observation are widely used in habitat analysis …
obtained from radio tracking and field observation are widely used in habitat analysis …
An innovative proposal to implement Multispecies Ecological Networks in the framework of sustainable landscape planning. An application in the Reggio Calabria …
G Lumia - 2024 - tesidottorato.depositolegale.it
It is now well known throughout the world that the well-being of a society is strongly linked to
the environment in which it develops and grows. The environment is no longer seen as a …
the environment in which it develops and grows. The environment is no longer seen as a …
[PDF][PDF] Observations and Geoinformation
ABSTRACT Generative Adversarial Networks (GANs) are one of the most creative advances
in Deep Learning (DL) in recent years. The Remote Sensing (RS) community has adopted …
in Deep Learning (DL) in recent years. The Remote Sensing (RS) community has adopted …