Onboard Hyperspectral Classification Enables Georeferencing-Reference-Cited by-同舟云学术

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Onboard Hyperspectral Classification Enables Georeferencing

Published:2023-10-31 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
language:
Short-container-title:

Author:

Chiatante C.¹,Langer D. D.²,Garrett J. L.³,Birkeland R.¹,Berg S.³,Orlandić M.¹

Affiliation:

1. Norwegian University of Science and Technology (NTNU),Department of Electronic Systems,Trondheim,Norway,7034

2. Norwegian University of Science and Technology (NTNU),Department of Marine Technology,Trondheim,Norway,7034

3. Norwegian University of Science and Technology (NTNU),Department of Engineering Cybernetics,Trondheim,Norway,7034

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430415/10430497/10430746.pdf?arnumber=10430746

Reference14 articles.

1. HYPSO-1 CubeSat: First Images and In-Orbit Characterization

2. Development of a multi-purpose SDR payload for the HYPSO-2 satellite

3. A Modular Hyperspectral Image Processing Pipeline For Cubesats

4. A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery

5. Automatic Registration of Coastal Remotely Sensed Imagery by Affine Invariant Feature Matching with Shoreline Constraint

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