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Htitiou et al., 2021 - Google Patents

Deep learning-based spatiotemporal fusion approach for producing high-resolution NDVI time-series datasets

Htitiou et al., 2021

Document ID
6406834630967098423
Author
Htitiou A
Boudhar A
Benabdelouahab T
Publication year
Publication venue
Canadian Journal of Remote Sensing

External Links

Snippet

The availability of concurrently high spatiotemporal resolution remote sensing data is highly desirable as they represent a key element for effective monitoring in various environmental applications. However, due to the tradeoff between the spatial resolution and acquisition …
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Classifications

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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/46—Extraction of features or characteristics of the image
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