Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0828001(2024)
Classification Method of Remote Sensing Image Based on Dynamic Weight Transform and Dual Network Self Verification
Fig. 1. The basic structure of dynamic weight deformation
Fig. 2. The application of point multiplication of dynamic weight deformation
Fig. 3. Diamond feature extraction structure based on residual connection
Fig. 4. Classification network structure with dynamic deformation of multi-diamond weights
Fig. 5. Schematic diagram of YOLO network improved by weight dynamic deformation
Fig. 6. Schematic diagram of the dual model network structure
Fig. 7. Experiment 1. (a) Original remote sensing image; (b) feature category composition; (c) GT; (d) results of FCN; (e) results of Attention-Unet; (f) results of MASK-RCNN; (g) results of DWTCN; (h) results of DWTDN
Fig. 8. Experiment 2. (a) Original remote sensing image; (b) feature category composition; (c) GT; (d) results of FCN; (e) results of Attention-Unet; (f) results of MASK-RCNN; (g) results of DWTCN; (h) results of DWTDN
Fig. 9. Experiment 3. (a) Original remote sensing image; (b) feature category composition; (c) GT; (d) results of FCN; (e) results of Attention-Unet; (f) results of MASK-RCNN; (g) results of DWTCN; (h) results of DWTDN
Fig. 10. Experiment 4. (a) Original remote sensing image; (b) feature category composition; (c) GT; (d) results of FCN; (e) results of Attention-Unet; (f) results of MASK-RCNN; (g) results of DWTCN; (h) results of DWTDN
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Qingfang Zhang, Ming Cong, Ling Han, Jiangbo Xi, Qingqing Jing, Jianjun Cui, Chengsheng Yang, Chaofeng Ren, Junkai Gu, Miaozhong Xu, Yiting Tao. Classification Method of Remote Sensing Image Based on Dynamic Weight Transform and Dual Network Self Verification[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0828001
Category: Remote Sensing and Sensors
Received: May. 26, 2023
Accepted: Jul. 24, 2023
Published Online: Mar. 15, 2024
The Author Email: Cong Ming (mingc@chd.edu.cn)