A framework for registering UAV-based imagery for crop-tracking in Precision Agriculture
Multiple types of images provide useful information about a crop, but image fusion is still a challenge in Precision Agriculture (PA). We describe a framework which manages a multi-layer registration model of heterogeneous images obtained by an unmanned aerial vehicle (UAV) by proposing pair-to-pair...
Main Authors: | Alfonso López, Juan M. Jurado, Carlos J. Ogayar, Francisco R. Feito |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-05-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S030324342030917X |
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