Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 531572
Title Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Author(s) Zhu, Xiao Xiang; Tuia, Devis; Mou, Lichao; Xia, Gui-Song; Zhang, Liangpei; Xu, Feng; Fraundorfer, Friedrich
Source IEEE Geoscience and Remote Sensing Magazine 5 (2017)4. - ISSN 2168-6831 - p. 8 - 36.
DOI https://doi.org/10.1109/MGRS.2017.2762307
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2017
Abstract Central to the looming paradigm shift toward data-intensive science, machine-learning techniques are becoming increasingly important. In particular, deep learning has proven to be both a major breakthrough and an extremely powerful tool in many fields. Shall we embrace deep learning as the key to everything? Or should we resist a black-box solution? These are controversial issues within the remote-sensing community. In this article, we analyze the challenges of using deep learning for remote-sensing data analysis, review recent advances, and provide resources we hope will make deep learning in remote sensing seem ridiculously simple. More importantly, we encourage remote-sensing scientists to bring their expertise into deep learning and use it as an implicit general model to tackle unprecedented, large-scale, influential challenges, such as climate change and urbanization.
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