A 64-bit orthorectification algorithm using fixed-point arithmetic

Joseph C. French; Eric J. Balster; William F. Turri

doi:10.1117/12.2032411

23 October 2013 A 64-bit orthorectification algorithm using fixed-point arithmetic

Joseph C. French, Eric J. Balster, William F. Turri

Proceedings Volume 8895, High-Performance Computing in Remote Sensing III; 88950K (2013) https://doi.org/10.1117/12.2032411
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

As the cost of imaging systems have decreased, the quality and size has increased. This dynamic has made the practicality of many aerial imaging applications achievable such as cost line monitoring and vegetation indexing. Orthorectification is required for many of these applications; however, it is also expensive, computationally. The computational cost is due to oating point operations and divisions inherent in the orthorecti cation process. Two novel algorithm modi cations are proposed which signi cantly reduce the computational cost. The rst modi cation uses xed-point arithmetic in place of the oating point operations. The second replaces the division with a multiplication of the inverse. The result in an increase of 2x of the throughput while remaining within 15% of a pixel size in position.

Citation Download Citation

Joseph C. French, Eric J. Balster, and William F. Turri "A 64-bit orthorectification algorithm using fixed-point arithmetic", Proc. SPIE 8895, High-Performance Computing in Remote Sensing III, 88950K (23 October 2013); https://doi.org/10.1117/12.2032411

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