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Document type:
Zeitschriftenaufsatz
Author(s):
Liebel, Lukas; Körner, Marco
Title:
Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks
Abstract:
In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural disadvantage of a large distance between the sensor and the sensed object. Thus, methods for single-image super resolution are desirable to exceed the limits of the sensor. Apart from assisting visual inspection of datasets, post-processing operations—e.g., segmentation or feature extraction—can bene...    »
Keywords:
Computer Vision, Superresolution, without_full_paper_review
Journal title:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS)
Year:
2016
Journal volume:
XLI-B3
Pages contribution:
883--890
Language:
en
Fulltext / DOI:
doi:10.5194/isprs-archives-XLI-B3-883-2016
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