Segal-Rozenhaimer et al., 2020 - Google Patents
Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)Segal-Rozenhaimer et al., 2020
View HTML- Document ID
- 9111666316001600043
- Author
- Segal-Rozenhaimer M
- Li A
- Das K
- Chirayath V
- Publication year
- Publication venue
- Remote Sensing of Environment
External Links
Snippet
Cloud detection algorithms are crucial in many remote-sensing applications to allow an optimized processing of the acquired data, without the interference of the cloud fields above the surfaces of interest (eg, land, coral reefs, etc.). While this is a well-established area of …
- 238000001514 detection method 0 title abstract description 57
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
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
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