TY - GEN
T1 - A robust spectral target recognition method for hyperspectral data based on combined spectral signatures
AU - Fan, Xiao
AU - Zhang, Ye
AU - Li, Feng
AU - Chen, Yushi
AU - Shao, Tao
AU - Zhou, Shuang
PY - 2011
Y1 - 2011
N2 - Achieving high target recognition accuracy is a pursuing and challenging issue for hyperspectral data analysis. The complicated imaging environment and noise interference lead to heterogeneous spectra within the homogeneous object, which makes the current spectral target recognition methods be lack of robustness. In this paper, a robust spectral target recognition method is proposed based on the combined spectral signatures, in which two key techniques are concerned. One is support vector data description (SVDD), which can tolerate the spectral variations of different pixels in the same object. Another is an effective spectral signature combined of spectral reflectance and spectral derivative, which can be robust to data characteristics with different spectral-amplitude variation. The proposed method outperforms the classical methods with only spectral reflective information in term of target recognition accuracy and robustness.
AB - Achieving high target recognition accuracy is a pursuing and challenging issue for hyperspectral data analysis. The complicated imaging environment and noise interference lead to heterogeneous spectra within the homogeneous object, which makes the current spectral target recognition methods be lack of robustness. In this paper, a robust spectral target recognition method is proposed based on the combined spectral signatures, in which two key techniques are concerned. One is support vector data description (SVDD), which can tolerate the spectral variations of different pixels in the same object. Another is an effective spectral signature combined of spectral reflectance and spectral derivative, which can be robust to data characteristics with different spectral-amplitude variation. The proposed method outperforms the classical methods with only spectral reflective information in term of target recognition accuracy and robustness.
KW - Combined spectral signatures
KW - hyperspectral data
KW - spectral target recognition
KW - support vector data description (SVDD)
UR - https://www.scopus.com/pages/publications/80955125224
U2 - 10.1109/IGARSS.2011.6050189
DO - 10.1109/IGARSS.2011.6050189
M3 - 会议稿件
AN - SCOPUS:80955125224
SN - 9781457710056
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4328
EP - 4331
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Y2 - 24 July 2011 through 29 July 2011
ER -