Variational approach for rigid co-registration of optical/SAR satellite images in agricultural areas

DOI10.1016/j.cam.2021.113742zbMath1472.94007OpenAlexW3191469036MaRDI QIDQ2229931

Mykola Uvarov, Volodymyr Hnatushenko, Peter I. Kogut

Publication date: 17 September 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113742

zbMATH Keywords

edge detectionempirical mode decompositionsynthetic aperture radar imageoptical imageco-registrationsustainable contour extraction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

A two-level variational algorithm in the Sobolev-Orlicz space to predict daily surface reflectance at LANDSAT high spatial resolution and MODIS temporal frequency

Uses Software

• SIFT

Cites Work

• Edge detection and noise removal by use of a partial differential equation with automatic selection of parameters
• Optimal control problems for partial differential equations on reticulated domains. Approximation and asymptotic analysis
• A decomposition and noise removal method combining diffusion equation and wave atoms for textured images
• Geodesic active contours
• Multivariate empirical mode decomposition
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
• Unnamed Item

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