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Seam-Cutting Based Unmanned Aerial Vehicle Hyperspectral Image Stitching
- Source :
- IGARSS
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- In this paper, a novel unmanned aerial vehicle (UAV) hyperspectral image stitching framework based on radiation correction and seam-cutting blending is proposed. Firstly, spectral correlation constraints are introduced to eliminate mismatched pairs in the transform matrix estimation step. Then, a spectral correction method based on intrinsic images is proposed to ensure spectral consistency of stitching results. In order to obtain more natural stitching results without edge effect, a seam-cutting and multi-scale blending strategy is adopted in the final blending stage. Experimental results on real unmanned aerial vehicle hyperspectral strip images show that the proposed method is superior to a representative image stitching approach.
- Subjects :
- Correction method
business.industry
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Hyperspectral imaging
STRIPS
law.invention
Image stitching
Consistency (database systems)
Transformation matrix
law
Computer vision
Enhanced Data Rates for GSM Evolution
Stage (hydrology)
Artificial intelligence
business
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
- Accession number :
- edsair.doi...........cdceb79ead7b6f539f9b20a8dbd61ab9