黑龙江大学电子工程学院;
遥感图像由于包含的地物尺度差别大、地物边界复杂等原因,造成准确提取遥感图像特征具有一定难度,精确分割遥感图像比较困难。针对这一问题,提出了一种编码-解码器的AFU-Net网络。在U-Net基础上使用一个自下而上、自上而下的结构,并引入密集跳跃连接得到融合不同层次的多尺度特征。使用非对称卷积块强化水平和垂直方向的平方卷积核,并采用残差单元加深网络深度。利用FReLU激活函数提升网络解析能力,从而提高遥感图像语义分割精度。在ISPRS的Vaihingen数据集实验结果表明,AFU-Net结构的性能要优于FCN,U-Net等算法。
| 1,689 | 17 | 11 |
| 下载次数 | 被引频次 | 阅读次数 |
[1] 许玥，冯梦如，皮家甜，等.基于深度学习模型的遥感图像分割方法[J].计算机应用，2019,39(10):2905-2914.
[2] ASRAR G R.Advances in Quantitative Earth Remote Sensing:Past,Present and Future[J].Sensors (Basel),2019,19(24):5399.
[3] 胥智杰，杨小兵，何灵敏，等.多尺度遥感语义分个网络[J].计算机工程与应用，2020,56(21):210-217.
[4] NA J,LI J Y.An Improved Semantic Segmentation Method for Remote Sensing Images Based on Neural Network[J].Traitement du Signal,2020,37(2):271-278.
[5] SHELHAMER E,LONG J,DARRELL T.Fully Convolutional Networks for Semantic Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(4):640-651.
[6] RONNEBERGER O,FISCHER P,BROX T.U-Net:Convolutional Networks for Biomedical Image Segmentation[C]//International Conference on Medical Image Computing and Computer-assisted Intervention.Munich:[s.n.],2015:234-241.
[7] ZHANG Z,LIU Q,WANG Y.Road Extraction by Deep Residual U-Net[J].IEEE Geoscience and Remote Sensing Letters,2018,15(5):749-753.
[8] ZHOU Z W,SIDDIQUEE Md M R,TAJBAKHSH N,et al.UNet++:Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation[J].IEEE Transactions on Medical Imaging,2020,39(6):1856-1867.
[9] ZHAO H S,SHI J P,QI X J,et al.Pyramid Scene Parsing Network[J].arXiv:1612.01105v1[cs.CV],2016:6230-6239.
[10] CHEN L,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,2018,40(4):834-848.
[11] 袁伟，周甜，奚宗顺，等.MUNet:一种多尺度自适应的遥感语义分割深度学习网络[J].测绘科学技术学报，2020,37(6):581-588.
[12] CHEN J,HUANG H,PENG J,et al.Contextual Information Preserved Architecture Learning for Remote Sensing Scene Classification[J].IEEE Transactions on Geoscience and Remote Sensing,2021(99):1-14.
[13] HE K M,ZHANG X Y,REN S Q,et al.Deep Residual Learning for Image Recognition[C]//IEEE Conference on Computer Vision & Pattern Recognition.Las Vegas:IEEE,2016:770-778.
[14] DING X H,GUO Y C,DING G G,et al.ACNet:Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks[C]//IEEE International Conference on Computer Vision (ICCV).Seoul:IEEE,2019:1911-1920.
[15] 柏宇阳，朱福珍.改进的残差卷积神经网络遥感图像超分辨重建[J].黑龙江大学自然科学学报，2020,37(3):372-378.
[16] MA N,ZHANG X,SUN J.Funnel Activation for Visual Recognition[C]//Europeon Conference on Computer Vision.[S.l.]:[s.n.],2020:351-368.
[17] MARMANIS D,SCHINDLER K,WEGNER J D,et al.Classification with an Edge:Improving Semantic Image Segmentation with Boundary Detection[J].ISPRS Journal of Photogrammetry and Remote Sensing,2018,135:158-172.
基本信息:
DOI：
中图分类号:TP751
引用信息:
[1]陈松钰,左强,王志芳.基于U-Net的遥感图像语义分割[J].无线电工程,2022,52(01):168-172.
基金信息:
国家自然科学基金(61601174)~~