一种自动的高分辨率遥感影像道路提取方法

doi:10.3969/j.issn.1001-2400.2017.01.018

Abstract

Abstract:

Road extraction from high-resolution satellite images is very important. Due to image noise, the natural scene complexity, and the extraction algorithms limitations, it still needs to be further researched. In recent years, level set evolution has been used to extract the road, but it is difficult to automatically generate initial level curves for the level set evolution (LSE). In this paper, we propose an automatic approach to the generation of initial level curves and use it to extract the road. Firstly, the convolutional neural network(CNN) is used to classify the road or nonroad, then shape features are adopted to filter nonlinear features to get the accurate road region. And on this basis, we exploit tensor voting to detect the road junctions and utilize them as initial level curves; finally we fuse the results obtained by the CNN and LSE. Experiments show that this algorithm can get an accurate and complete road.

Key words: convolutional neural network(CNN), shape feature, tensor voting, level set, information fusion

LIU Ruyi;SONG Jianfeng;QUAN Yining;XU Pengfei;XUE Qing;YANG Yun;MIAO Qiguang. Automatic road extraction method for high-resolution remote sensing images[J].Journal of Xidian University, 2017, 44(1): 100-105.

References

［1］左娟, 李勇军. 结合纹理与形状特征的高分辨率遥感影像道路提取［J］. 测绘, 2013, 36(3): 111-113.
ZUO Juan, LI Yongjun. Road Extraction from High Resolution Remote Sensing Image Based on Texture and Shape Feature ［J］. Surveying and Mapping, 2013, 36(3): 111-113.
［2］ DAL POZ A P, ZANIN R B, do VALE G M. Automated Extraction of Road Network from Medium-and High-resolution Images ［J］. Pattern Recognition and Image Analysis, 2006, 16(2): 239-248.
［3］ POULLIS C, YOU S. Delineation and Geometric Modeling of Road Networks ［J］. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(2): 165-181.
［4］ UNSALAN C, SIRMACEK B. Road Network Detection Using Probabilistic and Graph Theoretical Methods ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(11): 4441-4453.
［5］ SHI W Z, MIAO Z L, WANG Q M, et al. Spectral-spatial Classification and Shape Features for Urban Road Centerline Extraction ［J］. IEEE Geoscience and Remote Sensing Letters, 2014, 11(4): 788-792.
［6］ KARANTZALOS K, ARGIALAS D. A Region-based Level Set Segmentation for Automatic Detection of Man-made Objects from Aerial and Satellite Images ［J］. Photogrammetric Engineering ＆ Remote Sensing, 2009, 75(6): 667-677.
［7］ LI Z B, SHI W Z, WANG Q M, et al. Extracting Man-made Objects from Remote Sensing Images via Fast Level Set Evolutions ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 883-899.
［8］ CIRESAN D C, MEIER U, GAMBARDELLA L M, et al. Convolutional Neural Network Committees for Handwritten Character Classification ［C］//Proceedings of the International Conference on Document Analysis and Recognition. Piscataway: IEEE Computer Society, 2011: 1135-1139.
［9］ MEDIONI G, LEE M S, TANG C K. A Computational Framework for Segmentation and Grouping［M］. New York: Elsevier, 2000: 260.
［10］ JIA J Y, TANG C K. Inference of Segmented Color and Texture Description by Tensor Voting ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6): 771-786.
［11］龚丁禧, 曹长荣. 基于卷积神经网络的植物叶片分类［J］. 计算机与现代化, 2014(4): 12-15.
GONG Dingxi, CAO Changrong. Plant Leaf Classification Based on CNN［J］. Computer and Modernization, 2014(4): 12-15.
［12］ FARABET C, COUPRIE C, NAJMAN L, et al. Learning Hierarchical Features for Scene Labeling ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(8): 1915-1929.
［13］ MIAO Z L, SHI W Z, ZHANG H, et al. Road Centerline Extraction from High-resolution Imagery Based on Shape Features and Multivariate Adaptive Regression Splines ［J］. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 583-587.
［14］程江华, 高贵, 库锡树, 等. 高分辨率SAR 图像道路交叉口检测与识别新方法［J］. 雷达学报, 2012, 1(1): 100-108.
CHENG Jianghua, GAO Gui, KU Xishu, et al. A Novel Method for Detecting and Identifying Road Junctions from High Resolution SAR Images ［J］. Journal of Radars, 2012, 1(1): 100-108.
［15］苗则朗. 基于多特征的高分辨率遥感影像道路提取算法研究［D］. 徐州: 中国矿业大学, 2014.
［16］ SIRONI A, LEPETIT V, FUA P. Multiscale Centerline Detection by Learning a Scale-space Distance Transform ［C］//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2014: 2697-2704.

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Automatic road extraction method for high-resolution remote sensing images

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