TY - GEN
T1 - Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing
AU - Gokaraju, Balakrishna
AU - Bhushan, Shanti
AU - Anantharaj, Valentine
AU - Turlapaty, Anish C.
AU - Doss, Daniel A.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/30
Y1 - 2016/3/30
N2 - The objectives of this study are as follows: (i) Discuss the necessity of HPC in remote sensing community towards contemporary scientific solution requirements; (ii) Investigate the speedup in performance of the template matching algorithm with FFT parallelization using hybrid Central Processing Units (CPUs)/Graphics Processing Units (GPUs); (iii) Apply the speedup algorithms for detection of real-time man-made structures such as buildings from remote sensing datasets, for constructing a 3-Dimensional city modelling.
AB - The objectives of this study are as follows: (i) Discuss the necessity of HPC in remote sensing community towards contemporary scientific solution requirements; (ii) Investigate the speedup in performance of the template matching algorithm with FFT parallelization using hybrid Central Processing Units (CPUs)/Graphics Processing Units (GPUs); (iii) Apply the speedup algorithms for detection of real-time man-made structures such as buildings from remote sensing datasets, for constructing a 3-Dimensional city modelling.
KW - high performance computing
KW - pattern recognition
KW - remote sensing
KW - speed-up
KW - template matching
UR - https://www.scopus.com/pages/publications/84966573881
U2 - 10.1109/AIPR.2015.7444540
DO - 10.1109/AIPR.2015.7444540
M3 - Conference contribution
AN - SCOPUS:84966573881
T3 - 2015 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2015
BT - 2015 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2015
Y2 - 13 October 2015 through 15 October 2015
ER -