TY - GEN
T1 - A Spatial-Channel Attention-Based Convolutional Neural Network for Remote Sensing Image Classification
AU - Shuai, Yuanzhen
AU - Yuan, Qi Ao
AU - Zhao, Shanshan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a novel model for remote sensing image classification based on CBAM-CNN (Convolutional Block Attention Module-Convolutional Neural Network). CBAM-CNN is a well-known and effective model. However, it is limited when it comes to high-level features due to its shared spatial attention mechanism and narrow sampling range in squeeze-and-excitation module (SEM). We disentangle the shared attention to channel-independent spatial attention and expand the sampling range of SEM. The results show that the proposed approach outperforms other CNN-based models on two large-scale benchmark datasets.
AB - This paper proposes a novel model for remote sensing image classification based on CBAM-CNN (Convolutional Block Attention Module-Convolutional Neural Network). CBAM-CNN is a well-known and effective model. However, it is limited when it comes to high-level features due to its shared spatial attention mechanism and narrow sampling range in squeeze-and-excitation module (SEM). We disentangle the shared attention to channel-independent spatial attention and expand the sampling range of SEM. The results show that the proposed approach outperforms other CNN-based models on two large-scale benchmark datasets.
KW - Attention
KW - Convolution Neural Networks
KW - Image Classification
KW - Remote Sensing
KW - Scene Classification
UR - http://www.scopus.com/inward/record.url?scp=85141896619&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9884780
DO - 10.1109/IGARSS46834.2022.9884780
M3 - Conference Proceeding
AN - SCOPUS:85141896619
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3628
EP - 3631
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -