TY - GEN
T1 - Multi-class constrained background suppression approach to hyperspectral image classification
AU - Yu, Chunyan
AU - Xue, Bai
AU - Wang, Yulei
AU - Song, Meiping
AU - Wang, Lin
AU - Li, Sen
AU - Chen, Shih Yu
AU - Chang, Chein I.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - This paper extends target-constrained interference minimized filter (TCIMF) to multiclass-constrained background suppression classifier (MCBSC) for hyperspectral image classification. In order to capture spatial contextual information MCBSC makes use of a Gaussian filter to feed back a Gaussian-filtered MCBSC map to create a new set of hyperspectral images for MCBSC to be re-implemented again in an iterative manner, referred to as iterative MCBSC (IMCBSC). Finally, it uses Otsu's method to perform hyperspectral image classification. As shown by experiments, MCBSC generally performs better than existing spectral-spatial hyperspectral image classification techniques in terms of several quantitative measures, such as classification rate, false classification rate, precision rate, accuracy rate in addition to overall accuracy (OA) rate.
AB - This paper extends target-constrained interference minimized filter (TCIMF) to multiclass-constrained background suppression classifier (MCBSC) for hyperspectral image classification. In order to capture spatial contextual information MCBSC makes use of a Gaussian filter to feed back a Gaussian-filtered MCBSC map to create a new set of hyperspectral images for MCBSC to be re-implemented again in an iterative manner, referred to as iterative MCBSC (IMCBSC). Finally, it uses Otsu's method to perform hyperspectral image classification. As shown by experiments, MCBSC generally performs better than existing spectral-spatial hyperspectral image classification techniques in terms of several quantitative measures, such as classification rate, false classification rate, precision rate, accuracy rate in addition to overall accuracy (OA) rate.
UR - http://www.scopus.com/inward/record.url?scp=85040676946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040676946&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2017.8127717
DO - 10.1109/IGARSS.2017.8127717
M3 - Conference contribution
AN - SCOPUS:85040676946
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3357
EP - 3360
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -