Acta Optica Sinica, Volume. 43, Issue 24, 2428010(2023)
Remote Sensing Image Segmentation Based on Attention Guidance and Multi-Feature Fusion
Fig. 1. Architecture of the AMSNet
Fig. 2. Category guidance channel attention module
Fig. 3. Cross regional feature fusion module
Fig. 4. Cloud disturbance remote sensing image
Fig. 5. Show of dataset. (a) Original images; (b) after image corruption; (c) labels
Fig. 6. Segmentation rendering of different networks on remote sensing image dataset of plateau region. (a) Original image; (b) label; (c) AMSNet; (d) SegNext; (e) ISANet; (f) OCNet; (g) Deeplabv3+; (h) PspNet; (i) BiseNetv2
Fig. 7. Segmentation rendering of different networks on remote sensing image dataset of plateau area under cloud disturbance. (a) Original image; (b) label; (c) AMSNet; (d) SegNext; (e) ISANet; (f) OCNet; (g) Deeplabv3+; (h) PspNet; (i) BiseNetv2
Fig. 8. Segmentation rendering of different networks on ISPRS Vaihingen dataset. (a) Original image; (b) label; (c) AMSNet; (d)SegNext; (e) ISANet; (f) OCNet; (g) Deeplabv3+; (h) PspNet; (i) BiseNetv2
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Yinhui Zhang, Feng Zhang, Zifen He, Xiaogang Yang, Ruitao Lu, Guangchen Chen. Remote Sensing Image Segmentation Based on Attention Guidance and Multi-Feature Fusion[J]. Acta Optica Sinica, 2023, 43(24): 2428010
Category: Remote Sensing and Sensors
Received: Mar. 6, 2023
Accepted: Apr. 24, 2023
Published Online: Dec. 8, 2023
The Author Email: He Zifen (zyhhzf1998@168.com)