Restoration and reconstruction of AVHRR images

• Published in: IEEE transactions on geoscience and remote sensing Vol. 33; no. 4; pp. 997 - 1007
• Main Authors: Reichenbach, S.E., Koehler, D.E., Strelow, D.W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.1995; Institute of Electrical and Electronics Engineers
• Subjects: Areal geology. Maps; Convolution; Degradation; Earth sciences; Earth, ocean, space; Exact sciences and technology; External geophysics; Geologic maps, cartography; Geophysics. Techniques, methods, instrumentation and models; Image reconstruction; Image resolution; Image restoration; Kernel; Layout; Radiometry; Spatial resolution; Statistics; Image processing; Multispectral remote sensing; Radiometry; Error correction; Imagery; Algorithm; Geometrical factor; Image reconstruction
• ISSN: 0196-2892
• DOI: 10.1109/36.406685

Describes the design of small convolution kernels for the restoration and reconstruction of Advanced Very High Resolution Radiometer (AVHRR) images. The kernels are small enough to be implemented efficiently by convolution, yet effectively correct degradations and increase apparent resolution. The kernel derivation is based on a comprehensive, end-to-end system model that accounts for scene statistics, image acquisition blur, sampling effects, sensor noise, and postfilter reconstruction. The design maximizes image fidelity subject to explicit constraints on the spatial support and resolution of the kernel. The kernels can be designed with finer resolution than the image to perform partial reconstruction for geometric correction and other remapping operations. Experiments demonstrate that small kernels yield fidelity comparable to optimal unconstrained filters with less computation.< >