TY - GEN
T1 - Narrow road extraction from remote sensing images based on super-resolution convolutional neural network
AU - Zhou, Xinyu
AU - Chen, Xi
AU - Zhang, Ye
N1 - Publisher Copyright:
© 2018 IEEE
PY - 2018/10/31
Y1 - 2018/10/31
N2 - In remote sensing images, it is usually hard to extract narrow roads with only several pixels width. To address this problem, the original remote sensing images are processed with super-resolution to enlarge the details of the narrow roads by a convolutional neural network method. Then the One-Class Support Vector Machine (OCSVM) classifier is applied after super-resolution for exact extraction of narrow roads. Experiments are conducted on an open dataset of remote sensing images to verify the performance of the new method and the results are compared with the method without image super-resolution. The experimental results demonstrate the validity and superiority of the new method.
AB - In remote sensing images, it is usually hard to extract narrow roads with only several pixels width. To address this problem, the original remote sensing images are processed with super-resolution to enlarge the details of the narrow roads by a convolutional neural network method. Then the One-Class Support Vector Machine (OCSVM) classifier is applied after super-resolution for exact extraction of narrow roads. Experiments are conducted on an open dataset of remote sensing images to verify the performance of the new method and the results are compared with the method without image super-resolution. The experimental results demonstrate the validity and superiority of the new method.
KW - Convolutional neural network
KW - Narrow road extraction
KW - Super-resolution
UR - https://www.scopus.com/pages/publications/85063131462
U2 - 10.1109/IGARSS.2018.8517851
DO - 10.1109/IGARSS.2018.8517851
M3 - 会议稿件
AN - SCOPUS:85063131462
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 685
EP - 688
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -