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Terrain Matching by Fusing HOG With Zernike Moments
- Source :
- IEEE Transactions on Aerospace and Electronic Systems. 56:1290-1300
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- A new matching algorithm is proposed by fusing the histogram of oriented gradients’ and the Zernike moments’ descriptors extracted from the real-time synthetic aperture radar (SAR) images and the real-time elevation maps (REMs), respectively. Both the SAR images and the REMs are acquired by an on-board interferometric SAR simultaneously. The two reciprocal descriptors are fused by weighting their Canberra distances. The numerical experiments demonstrate the advantage of the proposed matching algorithm preliminarily.
- Subjects :
- Synthetic aperture radar
Matching (graph theory)
Zernike polynomials
business.industry
Computer science
Feature extraction
Detector
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Aerospace Engineering
Pattern recognition
Weighting
symbols.namesake
Interferometry
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Graphics
Histogram of oriented gradients
Computer Science::Computer Vision and Pattern Recognition
Histogram
symbols
Artificial intelligence
Electrical and Electronic Engineering
business
Physics::Atmospheric and Oceanic Physics
Subjects
Details
- ISSN :
- 23719877 and 00189251
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Aerospace and Electronic Systems
- Accession number :
- edsair.doi...........5160228dda44e6daf3edc66d992663a2
- Full Text :
- https://doi.org/10.1109/taes.2019.2930016