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Bai et al., 2023 - Google Patents

Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

Bai et al., 2023

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Document ID
16152546633759592403
Author
Bai L
Huang W
Zhang X
Du S
Cong G
Wang H
Liu B
Publication year
Publication venue
ISPRS Journal of Photogrammetry and Remote Sensing

External Links

Snippet

Most supervised geographic mapping methods with very-high-resolution (VHR) images are designed for a specific task, leading to high label-dependency and inadequate task- generality. Additionally, the lack of socio-economic information in VHR images limits their …
Continue reading at www.researchgate.net (PDF) (other versions)

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    • G06K9/4652—Extraction of features or characteristics of the image related to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • G—PHYSICS
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