• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 2, 263 (2020)
Liang HUANG1、2, Bing-Xiu YAO1、*, Peng-Di CHEN1, Ai-Ping REN1, and Yan XIA1
Author Affiliations
  • 1Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming650093, China
  • 2Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming650093, China
  • show less
    DOI: 10.11972/j.issn.1001-9014.2020.02.014 Cite this Article
    Liang HUANG, Bing-Xiu YAO, Peng-Di CHEN, Ai-Ping REN, Yan XIA. Superpixel segmentation method of high resolution remote sensing images based on hierarchical clustering[J]. Journal of Infrared and Millimeter Waves, 2020, 39(2): 263 Copy Citation Text show less
    References

    [1] N Chehata, C Orny, S Boukir. Object-based change detection in wind storm-damaged forest using high-resolution multispectral images. International Journal of Remote Sensing, 35, 4758-4777(2014).

    [3] HY Wang, Y Y Liang, Z H Wang. Otsu image threshold segmentation method based on new genetic algorithm, 38, 364-367(2014).

    [4] X Y Deng, Y D Ma. PCNN model analysis and its automatic parameters determination in image segmentation and edge detection. Chinese Journal of Electronics, 23, 97-103(2014).

    [5] X F Ren, C C Fowlkes, J Malik. Learning probabilistic models for contour completion in natural images. International Journal of Computer Vision, 77, 47-63(2007).

    [6] C Wang, Y Wang, Y Li. Automatic choroidal layer segmentation using markov random field and level set method. IEEE Journal of Biomedical and Health Informatics, 21, 1694-1702(2017).

    [7] A Pablo, H Barath, C GU. Semantic segmentation using regions and parts, 1, 3378-3385(2012).

    [8] T SU. Efficient paddy field mapping using landsat-8 imagery and object-based image analysis based on advanced fractel net evolution approach. GIScience & Remote Sensing, 54, 354-380(2017).

    [9] M S Chaibou, P H Conze, K Kalti. Adaptive strategy for superpixel-based region-growing image segmentation. Journal of Electronic Imaging, 26, 1-24(2018).

    [10] T Lei, X Jia, Y Zhang. Superpixel-based fast fuzzy c-means clustering for color image segmentation. IEEE Transactions on Fuzzy Systems, 27, 1753-1766(2019).

    [12] T G Liu, Q G Miao, K Tian. SCTMS: Superpixel based color topographic map segmentation method. Journal of Visual Communication and Image Representation, 35, 78-90(2016).

    [13] Z Fu, Y Sun, L Fan. Multiscale and multifeature segmentation of high-spatial resolution remote sensing images using superpixels with mutual optimal strategy. Remote Sensing, 10, 1289(2018).

    [14] B Devkota, A Alsadoon, P W C Prasad. Image segmentation for early stage brain tumor detection using mathematical morphological reconstruction. Procedia Computer Science, 125, 115-123(2018).

    [15] C Zhou, D Liang, X Yang. Recognition of wheat spike from field based phenotype platform using multi-sensor fusion and improved maximum entropy segmentation algorithms. Remote Sensing, 10, 246(2018).

    [16] T Lei, X Jia, T Liu. Adaptive morphological reconstruction for seeded image segmentation. IEEE Transactions on Image Process, 28, 5510-5523(2019).

    [17] S Zhou, Z Xu, F Liu. Method for determining the optimal number of clusters based on agglomerative hierarchical clustering. IEEE Transactions on Neural Networks & Learning Systems, 28, 3007-3017(2017).

    [18] L Dragu, D Tiede, S R Levick. Esp: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science, 24, 859-871(2010).

    [19] M Wang, X Liu, Y Gao. Superpixel segmentation: a benchmark. Signal Processing Image Communication, 56, 28-39(2017).

    [20] J Chen, Z LI, B Huang. Linear spectral clustering superpixel. IEEE Transactions on Image Processing, 26, 3317-3330(2017).

    [21] R Achanta, A Shaji, K Smith. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis & Machine Intelligence, 34, 2274-2282(2012).

    CLP Journals

    [1] LIU Li-li, YANG Chun-lei, GU Ming-jian, HU Yong. Semi-Supervised Classification of Hyperspectral Images Based on Multi-Scale Sample Amplification[J]. INFRARED, 2023, 44(5): 32

    Liang HUANG, Bing-Xiu YAO, Peng-Di CHEN, Ai-Ping REN, Yan XIA. Superpixel segmentation method of high resolution remote sensing images based on hierarchical clustering[J]. Journal of Infrared and Millimeter Waves, 2020, 39(2): 263
    Download Citation