• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1610006 (2022)
Yupin Fang, Xiaopeng Wang*, and Xinna Li
Author Affiliations
  • College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • show less
    DOI: 10.3788/LOP202259.1610006 Cite this Article Set citation alerts
    Yupin Fang, Xiaopeng Wang, Xinna Li. Road Extraction from Remote Sensing Images Based on Adaptive Morphology[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610006 Copy Citation Text show less
    References

    [1] Shi W Z, Miao Z L, Debayle J. An integrated method for urban main-road centerline extraction from optical remotely sensed imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 3359-3372(2014).

    [2] Dai J G, Wang Y, Du Y et al. Development and prospect of road extraction method for optical remote sensing image[J]. Journal of Remote Sensing, 24, 804-823(2020).

    [3] Li X L, Zhang Y. Summary of road information extraction methods[J]. Bulletin of Surveying and Mapping, 22-27(2020).

    [4] Wang W X, Yang N, Zhang Y et al. A review of road extraction from remote sensing images[J]. Journal of Traffic and Transportation Engineering (English Edition), 3, 271-282(2016).

    [5] Zhou J X, Zhou A F, Tao C et al. A methodology for urban roads network extraction from high resolution remote sensing imagery[J]. Journal of Central South University (Science and Technology), 44, 2385-2391(2013).

    [6] Que H Y, Huang H X, Xu J M. Road edge detection based on dual-threshold SSDA template matching[J]. Remote Sensing for Land & Resources, 26, 29-33(2014).

    [7] Raziq A, Xu A G, Li Y. Automatic extraction of urban road centerlines from high-resolution satellite imagery using automatic thresholding and morphological operation method[J]. Journal of Geographic Information System, 8, 517-525(2016).

    [8] Li H S, Huang P P, Su Y. A method for road extraction from remote sensing imagery[J]. Remote Sensing for Land & Resources, 27, 56-62(2015).

    [9] Ma T H, Tan H, Li T Q et al. Road extraction from GF-1 remote sensing images based on dilated convolution residual network with multi-scale feature fusion[J]. Laser & Optoelectronics Progress, 58, 0228001(2021).

    [10] Zhang A W, Liu L L, Zhang X Z. Multi-feature 3D road point cloud semantic segmentation method based on convolutional neural network[J]. Chinese Journal of Lasers, 47, 0410001(2020).

    [11] de Natale F G B, Boato G. Detecting morphological filtering of binary images[J]. IEEE Transactions on Information Forensics and Security, 12, 1207-1217(2017).

    [12] Liu J, Li P J, Wang X. A new segmentation method for very high resolution imagery using spectral and morphological information[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 101, 145-162(2015).

    [13] Zhang Z J, Yang F B. Road extraction algorithm for remote sensing images based on improved expectation-maximization clustering[J]. Laser & Optoelectronics Progress, 57, 061005(2020).

    [14] Singh P P, Garg R D. Automatic road extraction from high resolution satellite image using adaptive global thresholding and morphological operations[J]. Journal of the Indian Society of Remote Sensing, 41, 631-640(2013).

    [15] Bakhtiari H R R, Abdollahi A, Rezaeian H. Semi automatic road extraction from digital images[J]. The Egyptian Journal of Remote Sensing and Space Science, 20, 117-123(2017).

    [16] Wang J, Shan C Z. Extract different types of roads based on mathematical morphology[C], 505-509(2012).

    [17] Wei G W, Wang Q, Zhang Y Y et al. The extraction method of high resolution remote sensing image based on road comprehensive feature[J]. Bulletin of Surveying and Mapping, 31-35(2017).

    [18] Legaz-Aparicio Á G, Verdú-Monedero R, Angulo J. Adaptive morphological filters based on a multiple orientation vector field dependent on image local features[J]. Journal of Computational and Applied Mathematics, 330, 965-981(2018).

    [19] Lian R B, Wang W X, Li J. Road extraction from high-resolution remote sensing images based on adaptive circular template and saliency map[J]. Acta Geodaetica et Cartographica Sinica, 47, 950-958(2018).

    [20] Mylonas S K, Stavrakoudis D G, Theocharis J B et al. A local search-based GeneSIS algorithm for the segmentation and classification of remote-sensing images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 1470-1492(2016).

    [21] Makhlouf Y, Daamouche A. Automatic generation of adaptive structuring elements for road identification in VHR images[J]. Expert Systems With Applications, 119, 342-349(2019).

    [22] Brox T, Weickert J, Burgeth B et al. Nonlinear structure tensors[J]. Image and Vision Computing, 24, 41-55(2006).

    [23] Weickert J A. Anisotropic diffusion in image processing[EB/OL]. https://www.mia.uni-saarland.de/weickert/Papers/book.pdf

    [24] Wang W W, Feng X C. Anisotropic diffusion with nonlinear structure tensor[J]. Multiscale Modeling & Simulation, 7, 963-977(2008).

    [25] Tsiotsios C, Petrou M. On the choice of the parameters for anisotropic diffusion in image processing[J]. Pattern Recognition, 46, 1369-1381(2013).

    [26] Wu J, Feng Z R, Ren Z G. Improved structure-adaptive anisotropic filter based on a nonlinear structure tensor[J]. Cybernetics and Information Technologies, 14, 112-127(2014).

    [27] Yu T H, Li Y Z, Lan C F. Bionic image enhancement algorithm based on top-bottom hat transformation[J]. Journal of Computer Applications, 40, 1440-1445(2020).

    [28] Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979).

    [29] 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, 10, 583-587(2013).

    Yupin Fang, Xiaopeng Wang, Xinna Li. Road Extraction from Remote Sensing Images Based on Adaptive Morphology[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610006
    Download Citation