Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2237012(2024)
High-Resolution Slope Scene Image Classification Based on SwinT-MFPN
Fig. 2. Comparison of Swin-Transformer and VIT. (a) VIT; (b) Swin-Transformer; (c) MSA; (d) W-MSA; (e) SW-MSA
Fig. 6. Examples of enhanced slope scenario data. (a) Original image; (b) random rotation; (c) add noise; (d) change brightness; (e) random translation
Fig. 7. Comparison of loss and average precision of different improvement methods. (a) Loss curve; (b) average precision curve
Fig. 8. Comparison of loss and average precision of different classification models. (a) Loss curve; (b) average precision curve
|
|
|
Get Citation
Copy Citation Text
Yin Tu, Denghua Li, Yong Ding. High-Resolution Slope Scene Image Classification Based on SwinT-MFPN[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2237012
Category: Digital Image Processing
Received: Feb. 29, 2024
Accepted: Apr. 14, 2024
Published Online: Nov. 19, 2024
The Author Email: Li Denghua (dhli@nhri.cn)
CSTR:32186.14.LOP240769