Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0428005(2024)
DeepLabV3_DHC: Semantic Segmentation of Urban Unmanned Aerial Vehicle Remote Sensing Image
[1] Yu S, Wang X L. Remote sensing building segmentation by CGAN with multilevel channel attention mechanism[J]. Journal of Image and Graphics, 26, 686-699(2021).
[2] Cheng Q, Fan M, Li Y D et al. Review on semantic segmentation of UAV aerial images[J]. Computer Engineering and Applications, 57, 57-69(2021).
[3] Chen H, Guo W, Yan J W. Synthetic aperture radar image target segmentation method based on boundary and texture information[J]. Journal of Image and Graphics, 24, 882-889(2019).
[4] Li G S, Liu G J, Ma W T. Adaptive image segmentation based on region information coupling[J]. Laser & Optoelectronics Progress, 59, 0210013(2022).
[5] Xiao C J, Li Y, Zhang H Q et al. Semantic segmentation of remote sensing image based on deep fusion networks and conditional random field[J]. Journal of Remote Sensing, 24, 254-264(2020).
[6] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).
[7] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).
[8] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[10] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).
[12] Chen L C, Zhu Y K, Papandreou G et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 833-851(2018).
[13] Cao C L, Tao C B, Li H Y et al. Deep contour fragment matching algorithm for real-time instance segmentation[J]. Opto-Electronic Engineering, 48, 22-33(2021).
[14] Wang C L, Zhao Q, Zhao Y et al. A real-time remote sensing target detection algorithm based on depth separable convolution[J]. Electronics Optics & Control, 29, 45-49(2022).
[16] Kuai Y, Wang B, Wu Y L et al. Urban vegetation classification based on multi-scale feature perception network for UAV images[J]. Journal of Geo-Information Science, 24, 962-980(2022).
[17] Shen H L, Su X Q, Zhao Q L et al. Extraction method of wheat lodging area by UAV remote sensing based on deep learning[J]. Transactions of the Chinese Society for Agricultural Machinery, 53, 252-260, 341(2022).
[18] Wang P Q, Chen P F, Yuan Y et al. Understanding convolution for semantic segmentation[C], 1451-1460(2018).
[19] Zhang J, Lin S F, Ding L et al. Multi-scale context aggregation for semantic segmentation of remote sensing images[J]. Remote Sensing, 12, 701(2020).
[20] Chollet F. Xception: deep learning with depthwise separable convolutions[C], 1800-1807(2017).
[21] Yu F, Koltun V, Funkhouser T. Dilated residual networks[C], 636-644(2017).
[22] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).
[23] Vaswani A, Shazeer N, Parmar N et al. Attention is all You need[C], 6000-6010(2017).
[24] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).
[25] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).
[26] Russell B C, Torralba A, Murphy K P et al. LabelMe: a database and web-based tool for image annotation[J]. International Journal of Computer Vision, 77, 157-173(2008).
[28] Ding X H, Zhang X Y, Han J G et al. Scaling up your kernels to 31 × 31: revisiting large kernel design in CNNs[C], 11953-11965(2022).
Get Citation
Copy Citation Text
Guowen Sun, Xiaobo Luo, Kunqiang Zhang. DeepLabV3_DHC: Semantic Segmentation of Urban Unmanned Aerial Vehicle Remote Sensing Image[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0428005
Category: Remote Sensing and Sensors
Received: Mar. 17, 2023
Accepted: Jun. 1, 2023
Published Online: Feb. 26, 2024
The Author Email: Luo Xiaobo (luoxb@cqupt.edu.cn)