TY - GEN
T1 - A Multi-Task Architecture for Remote Sensing by Joint Scene Classification and Image Quality Assessment
AU - Zhang, Cong
AU - Wang, Qi
AU - Li, Xuelong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - In this work, we propose a compact multi-task architecture based on deep learning for remote sensing scene classification and image quality assessment (IQA) simultaneously. The model can be trained in an end-to-end manner, and the robustness of classification is improved in our method. More importantly, by exploiting IQA and super-resolution, the accurate classification results can be obtained even if the images are distorted or with low quality. To the best of our knowledge, it is the first successful attempt to associate IQA with scene classification in a unified multi-task architecture. Our method is evaluated on the expanded UC Merced Land-Use dataset after data augmentation. In comparison with some other methods, the experimental results show that the proposed structure makes a great improvement on both classification and IQA.
AB - In this work, we propose a compact multi-task architecture based on deep learning for remote sensing scene classification and image quality assessment (IQA) simultaneously. The model can be trained in an end-to-end manner, and the robustness of classification is improved in our method. More importantly, by exploiting IQA and super-resolution, the accurate classification results can be obtained even if the images are distorted or with low quality. To the best of our knowledge, it is the first successful attempt to associate IQA with scene classification in a unified multi-task architecture. Our method is evaluated on the expanded UC Merced Land-Use dataset after data augmentation. In comparison with some other methods, the experimental results show that the proposed structure makes a great improvement on both classification and IQA.
KW - deep learning
KW - image quality assessment
KW - image super-resolution
KW - multi-task learning
KW - Remote sensing
KW - scene classification
UR - http://www.scopus.com/inward/record.url?scp=85077705053&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8898659
DO - 10.1109/IGARSS.2019.8898659
M3 - 会议稿件
AN - SCOPUS:85077705053
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 10055
EP - 10058
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -
