TY - GEN
T1 - Multiple band selection for anomaly detection in hyperspectral imagery
AU - Wang, Lin
AU - Chang, Chein I.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - This paper develops a new approach to band selection (BS), called multiple band selection (MBS), which does not require band prioritization to select bands but rather relies on applications to select bands. Its idea is to first use virtual dimensionality (VD) to determine the number of multiple bands needed to be selected. Then MBS is performed by two major iterative process, sequential multiple band selection (SQ-MBS) and successive multiple band selection (SC-MBS). In order to evaluate the performance of MBS anomaly detection is used its application for demonstration.
AB - This paper develops a new approach to band selection (BS), called multiple band selection (MBS), which does not require band prioritization to select bands but rather relies on applications to select bands. Its idea is to first use virtual dimensionality (VD) to determine the number of multiple bands needed to be selected. Then MBS is performed by two major iterative process, sequential multiple band selection (SQ-MBS) and successive multiple band selection (SC-MBS). In order to evaluate the performance of MBS anomaly detection is used its application for demonstration.
UR - http://www.scopus.com/inward/record.url?scp=85007452831&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2016.7730831
DO - 10.1109/IGARSS.2016.7730831
M3 - Conference contribution
AN - SCOPUS:85007452831
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 7022
EP - 7025
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -