TY - GEN
T1 - Spectral content characterization for efficient image detection algorithm design
AU - Park, Kyoung Su
AU - Hong, Sangjin
AU - Park, Peom
PY - 2006
Y1 - 2006
N2 - This paper presents spectral characterization for efficient image detection using hyperspectral processing technique. We investigate relationship between the number of bands used in the detection so that the minimum number of bands are used in the processing. This approach reduces computation and implementation complexity of the algorithms. Specifically, we considered contribution coefficient by each band and based on this coefficient, we heuristically select the bands for processing. We have shown that for effective detection, only small number of bands are needed.
AB - This paper presents spectral characterization for efficient image detection using hyperspectral processing technique. We investigate relationship between the number of bands used in the detection so that the minimum number of bands are used in the processing. This approach reduces computation and implementation complexity of the algorithms. Specifically, we considered contribution coefficient by each band and based on this coefficient, we heuristically select the bands for processing. We have shown that for effective detection, only small number of bands are needed.
UR - https://www.scopus.com/pages/publications/34547326009
U2 - 10.1109/CIT.2006.168
DO - 10.1109/CIT.2006.168
M3 - Conference contribution
AN - SCOPUS:34547326009
SN - 076952687X
SN - 9780769526874
T3 - Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
SP - 137
BT - Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
PB - IEEE Computer Society
T2 - 6th IEEE International Conference on Computer and Information Technology, CIT 2006
Y2 - 20 September 2006 through 22 September 2006
ER -