Computer Science ›› 2021, Vol. 48 ›› Issue (9): 140-145.doi: 10.11896/jsjkx.200800002
• Computer Graphics & Multimedia • Previous Articles Next Articles
HE Xiao-hui1, QIU Fang-bing2, CHENG Xi-jie2, TIAN Zhi-hui1, ZHOU Guang-sheng3
CLC Number:
[1]YANG Z,MU X D,WANG S Y.Scene classficition of remote sensing images based on multiscale features fusion[J].Optics and Precision Engineering,2018,26(12):3099-3107. [2]LONG J,SHELHAMER E,DARRELL T.Fully Convolutional Networks for Semantic Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,39(4):640-651. [3]XU Z J,YANG X B,HE L M,et al.Multiscale remote sensing semantic segmentation Network[J].Computer Engineering and Applications,2020,56(21):210-217. [4]RONNEBERGER O,FISCHER P,BROX T.U-Net:Convolu-tional Networks for Biomedical Image Segmentation[J].arXiv:1505.04597,2015. [5]LIU H,LUO J C,HUANG B,et al.DE-Net:Deep EncodingNetwork for Building Extraction from High-Resolution Remote Sensing Imagery[J].Remote Sensing,2019,11(20):2380. [6]XU Z H,LIU Y,QUAN J C,et al.Buildings egmentation of remote sensing images based on VGG16 pre-encoding[J].Science Technology and Engineering,2019,19(17):250-255. [7]REN X L,WANG Y P,YANG J Y.Building Detection form Remote Sensing Images Based on Improved U-net[J].Laser and Optoelectronics Progress,2019,657(22):195-202. [8]LI Z,ZHOU F.FSSD:Feature Fusion Single Shot Multibox Detector[J].arXiv:1712.00960,2018. [9]SHENG Y T,ZHAO Z,WANG T T.Building Areas Extraction in GF-3 Images Based on the Integration of Span Image and Texture Features[J].Beijing Surveying and Mapping,2020,34(1):73-78. [10]FENG F J,LI J P,DING Y Z.Target Detection from High Re-solution Remote Sensing Images Based on Combination of Multi-scale Visual Features[J].Journal of Applied Sciences,2018,36(3):471-484. [11]LIU S,HUANG D,WANG Y.Learning Spatial Fusion for Single-Shot Object Detection[J].arXiv:1911.09516,2019. [12]FENG F,WANG S T.Building Extraction Based on Multi-input-multi-output and Multi-feature Fusion[J].Journal of Zhengzhou Institute of Surveying and Mapping,2020,37(6):575-580. [13]WANG Z H,LIU H Q.Building Recognition Based on Transfer Learningand Adaptive Feature Fusion[J].Computer Technology and Development,2019(12):40-43. [14]LI X Y.Object Detection in Remote Sensing Images Based on Deep Learning[D].Hefei:University of Science and Technology of China,2019. [15]FENG J W,ZHANG L M,DENG X Y.Image segmentationbased on multi-source fusion FCN[J].Application Research of Computers,2018,35(9):2877-2880. [16]ZHU G Y.Research on Building Extraction from Remote Sen-sing Images Based on Deep Lreaning[D].Hangzhou:Zhejiang University,2019. [17]JIN F,WNAG L F,LIU Z,et al.Double U-Net Remote Sensing Image Road Extraction Method[J].Journal of Geomatics Science and Technology,2019,36(4):377-381,387. [18]LIU R Y,SUN Q C,WANG C Y.Research on Edge Detection Algorithm in Digital Image[M].Science Press,2015. [19]PANG Y W,XIU Y X.Lane Semantic Segmentation NeuralNetwork Based on Edge Feature Merging and Skip Connections[J].Journal of Tianjin University(Science and Technology),2019,52(8):779-787. [20]ZHANG H,ZHAO J H,ZHANG X G.High-resolution Image Building Extraction Using U-net Neural Network[J].Remote Sensing Information,2020,35(3):143-150. [21]XU Z H,LIU Y,QUAN J C,et al.Buildings Segmentation of Remote Sensing Images Based on U-Net Pre-encoding[J].Science Technology and Engineering,2019,19(17):250-255. |
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