An Experimental Study of Input/Output Characteristics of NASA Earth and Space Sciences Applications
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
FRONTIERS '95 Proceedings of the Fifth Symposium on the Frontiers of Massively Parallel Computation (Frontiers'95)
Multiresolution image registration
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
(C) Wavelet Decomposition on High-Performance Computing Systems
ICPP '96 Proceedings of the Proceedings of the 1996 International Conference on Parallel Processing - Volume 2
FPGA accelerator for wavelet-based automated global image registration
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
Parameterized hardware design on reconfigurable computers: an image processing case study
International Journal of Reconfigurable Computing - Special issue on selected papers from spl 2009 programmable logic and applications
A proposal of parallel strategy for global wavelet-based registration of remote-sensing images
ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing
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Digital image registration is very important in many applications, such as medical imagery, robotics, visual inspection, and remotely sensed data processing. NASA s Mission To Planet Earth (MTPE) program will be producing enormous Earth global change data, reaching hundreds of Gigabytes per day, that are collected form different spacecrafts and different perspectives using many sensors with diverse resolutions and characteristics. The analysis of such data requires integration, therefore, accurate registration of these data. Image registration is defined as the process which determines the most accurate relative orientation between two or more images, acquired at the same or different times by different or identical sensors. Registration can also provide the absolute orientation between an image and a map.