[1] 王海, 蔡英凤, 贾允毅, 等.基于深度卷积神经网络的场景自适应道路分割算法[J].电子与信息学报, 2017, 39(2):263-269. WANG H, CAI Y F, JIA Y Y, et al.Scene adaptive road segmentation algorithm based on deep convolution neural network[J].Journal of Electronics and Information, 2017, 39(2):263-269.(in Chinese) [2] 宋青松, 张超, 陈禹, 等.组合全卷积神经网络和条件随机场的道路分割[J].清华大学学报(自然科学版), 2018, 58(8):725-731. SONG Q S, ZHANG C, CHEN Y, et al.Road segmentation based on combined total convolution neural network and conditional random fields[J].Journal of Tsinghua University, 2018, 58(8):725-731.(in Chinese) [3] 杨飞, 王欢, 金忠.基于融合分层条件随机场的道路分割模型[J].机器人, 2018, 40(6):803-816. YANG F, WANG H, JIN Z.Road segmentation model based on fusion hierarchical conditional random fields[J].Robot, 2018, 40(6):803-816. [4] ONUEAM A, CHOI N, KIM T, et al.Adaptive road segmentation of OpenStreetMap data using Haversine formula[J].Information and Communication Engineering, 2018, 10(1):297-299. [5] MA W, YANG Q, WU Y, et al.Double-branchmulti-attention mechanism network for hyperspectral image classification[J].Remote Sensing, 2019, 11(11):1307-1321. [6] ZAIMBASHI A, LI J.Tunable adaptive targetwith kernels in Colocated MIMO[J].IEEE Transactions on Signal, 2020, 45(12):1500-1514. [7] YU A, WANG L.Using the wide-range attention U-Net for road segmentation[J].Remote Sensing Letters, 2019, 10(5):506-515. [8] HAO H, YANG D F, WANG S C, et al.Road segmentation of cross-modal remote sensing images using deep segmentation network and transfer learning[J].International Journal of Robotics Research and Application, 2019, 46(3):384-390. [9] MISTIY V H, MAKWANA R M.Road segmentation and tracking on Indian road scenes[J].International Journal of Computer Aided Engineering and Technology, 2019, 11(4/5):480-494. [10] FAN R, BOCUS M J, DAHNOUN N.A novel disparity transformation algorithm for road segmentation[J].Information Processing Letters, 2018, 140:18-24. [11] CHENG G L, WU C R, YU H, et al.Recognizing road from satellite images by structured neural network[J].Neurocomputing, 2019, 356:131-141. [12] LIU Y, JIN W.Rethinking labelling in road segmentation[J].International Journal of Remote Sensing, 2019, 40(22):8359-8378. [13] ZHANG X X, ZHU X.Efficient and de-shadowing approach for multiple vehicle tracking in aerial video via image segmentation and local region matching[J].Journal of Applied Remote Sensing, 2020, 14(1):14503-14517. [14] CHENG G L, ZHU F Y, XIANG F M, et al.Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting[J].Neurocomputing, 2016, 205:407-420. [15] ZAIMBASHI A, LI J.Tunable adaptive target detection with kernels in colocated MIMORadar[J].IEEE Transactions on Signal Processing, 2020, 41(3):1500-1514. [16] CORONA E, ALENY G, GABAS A, et al.Activegarment recognition and target grasping point detection using deep learning[J].Pattern Recognition, 2018, 74:629-641. [17] YU C Q, WANG J B, PENG C, et al.BiSeNet:bilateral segmentation network for real-time semantic segmentation[C]//Proceedings of the 15th IEEE European Conference on Computer Vision.Berlin, Germany:Springer, 2018:334-349 [18] 周飞, 唐建, 杨成松, 等.基于混合自动编码器道路语义分割方法研究[J].计算机工程与科学, 2019, 41(8):1453-1458. ZHOU F, TANG J, YANG C S, et al.Research on road semantic segmentation method based on hybrid automatic encoder[J].Computer Engineering and Science, 2019, 41(8):1453-1458.(in Chinese) [19] HU J, SHEN L, SUN G.Squeeze-and-excitation[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2018:7132-7141. [20] 闫昭帆, 李雨冲, 严国萍.基于多特征融合和条件随机场的道路分割[J].计算机系统应用, 2020, 29(3):240-245. YAN Z F, LI Y C, YAN G P.Road segmentation based on multi-feature fusion and conditional random field[J].Computer System Application, 2020, 29(3):240-245.(in Chinese) [21] 张凯航, 冀杰, 蒋骆, 等.基于SegNet的非结构道路可行驶区域语义分割[J].重庆大学学报, 2020, 43(3):79-87. ZHANG K H, JI J, JIANG L, et al.Semantic segmentation of driving area of unstructured road based on SegNet[J].Journal of Chongqing University, 2020, 43(3):79-87.(in Chinese) [22] 莫虹平.基于递归神经网络的高分辨率航拍图像道路分割与提取[D].厦门:厦门大学, 2017. MO H P.Road segmentation and extraction from high-resolution aerial images based on recurrent neural network[D].Xiamen:Xiamen University, 2017.(in Chinese) [23] FU F F, WANG Y, LAI F C, et al.Efficient rain-fog model for rain detection and removal[J].Journal of Electronic Imaging, 2020, 29(2):23020-23032. [24] YANG F, RAO Y T.Vision-based intelligent vehicle road recognition and obstacle detection method[J].International Journal of Pattern Recognition and Artificial Intelligence, 2020, 34(7):15-28. [25] LAN M, ZHANG Y P, ZHANG L F, et al.Global context based automatic road segmentation via dilated convolutional neural network[J].Information Sciences, 2020, 535:156-171. |