Analysis of built-up land detection in new Beichuan County based on neutrosophic set
YU Bo1,2, WANG Li1, NIU Zheng1
1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：The detection of built-up land, including buildings, roads, squares and other social service facilities, has been an effective method in monitoring developing speed of a specific area. The purpose of this paper is to find the methods suitable for monitoring and comparing the progress of constructing new Beichuan on the basis of high spatial resolution aerial images. Aimed at solving the problem of neglecting buildings under construction in built-up area detection, the method put forward by the authors successfully extracted constructions in process by synthesizing neutrosophic set, mean shift and green factor. Experiments show that the method is effective in detecting built-up areas from remote sensed images with high spatial resolution. An analysis of change detection of built-up area from the year 2009 to 2013 indicates that new Beichuan has accomplished 98.17% of the project area where the construction was started from 2009 to 2010. Moreover, from the year 2010 to 2013, new Beichuan started several projects which occupied an area of 0.6 km2. High developing rate makes it possible for new Beichuan to be able to guarantee the living environment for victims of the earthquake.
于博, 王力, 牛铮. 基于中性集对北川羌族自治县新城人工建设用地的识别[J]. 国土资源遥感, 2015, 27(1): 106-112.
YU Bo, WANG Li, NIU Zheng. Analysis of built-up land detection in new Beichuan County based on neutrosophic set. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 106-112.
[1] 四川省绵阳市北川羌族自治县.北川山东工业园区规划[M].北川:[s.n.],2008. Beichuan Qiang Autonomous County,Mianyang City,Sichuan Province.Beichuan County,Shandong Province.Industrial Park Planning[M].Beichuan:[s.n.],2008. [2] 四川省绵阳市北川羌族自治县.北川羌族自治县新县城城市总体规划(2008—2020)[M].北川:[s.n.],2008. Beichuan Qiang autonomous County,Mianyang City,Sichuan Province.The Overall Planning of New Beichuan Qiang Minority Autonomous County(2008—2020)[M].Beichuan:[s.n.],2008. [3] Carreira P,Resendes S,Santos A C.Towards automatic conflict detection in home and building automation systems[J].Pervasive and Mobile Computing,2014,12:37-57. [4] Sumer E,Turker M.An adaptive fuzzy-genetic algorithm approach for building detection using high-resolution satellite images[J].Computers,Environment and Urban Systems,2013,39:48-62. [5] Tong X H,Lin X F,Feng T T,et al.Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,79:53-67. [6] Xiao J,Gerke M,Vosselman G.Building extraction from oblique airborne imagery based on robust faade detection[J].ISPRS Journal of Photogrammetry and Remote Sensing,2012,68:56-68. [7] Kang C C,Wang W J,Kang C H.Image segmentation with complicated background by using seeded region growing[J].AEU - International Journal of Electronics and Communications,2012,66(9):767-771. [8] Lopez-Molina C,De Baets B,Bustince H,et al.Multiscale edge detection based on Gaussian smoothing and edge tracking[J].Knowledge-Based Systems,2013,44:101-111. [9] Shih F Y,Cheng S X.Automatic seeded region growing for color image segmentation[J].Image and Vision Computing,2005,23(10):877-886. [10] Zareizadeh Z,Hasanzadeh R P R,Baghersalimi G.A recursive color image edge detection method using Green's function approach[J].Optik - International Journal for Light and Electron Optics,2013,124(21):4847-4854. [11] Loosvelt L,Peters J,Skriver H,et al.Random forests as a tool for estimating uncertainty at pixel-level in SAR image classification[J].International Journal of Applied Earth Observation and Geoinformation,2012,19:173-184. [12] Mathanker S K,Weckler P R,Bowser T J,et al.AdaBoost classifiers for pecan defect classification[J].Computers and Electronics in Agriculture,2011,77(1):60-68. [13] Qian X M,Tang Y Y,Yan Z,et al.ISABoost:A weak classifier inner structure adjusting based AdaBoost algorithm—ISABoost based application in scene categorization[J].Neurocomputing,2013,103:104-113. [14] Waske B,van der Linden S,Oldenburg C,et al.ImageRF–A user-oriented implementation for remote sensing image analysis with random forests[J].Environmental Modelling & Software,2012,35:192-193. [15] Ansari A Q,Biswas R,Aggarwal S.Neutrosophic classifier:An extension of fuzzy classifer[J].Applied Soft Computing,2013,13(1):563-573. [16] Klaric M,Scott G,Chi-Ren S,et al.Automated object extraction through simplification of the differential morphological profile for high-resolution satellite imagery[C]//Proceedings of the 2005 IEEE International Geoscience and Remote Sensing Symposium.Seoul:IEEE,2005:1265-1268. [17] Sengur A,Guo Y H.Color texture image segmentation based on neutrosophic set and wavelet transformation[J].Computer Vision and Image Understanding,2011,115(8):1134-1144. [18] Wilkinson M H F,Soille P,Pesaresi M,et al.Concurrent computation of differential morphological profiles on giga-pixel images[M]//Soille P,Pesaresi M,Ouzounis G.Mathematical Morphology and Its Applications to Image and Signal Processing.Berlin Heidelberg:Springer,2011:331-342. [19] Yan G R,Duan Z D,Ou J P,et al.Structural damage detection using residual forces based on wavelet transform[J].Mechanical Systems and Signal Processing,2010,24(1):224-239. [20] Yger F,Rakotomamonjy A.Wavelet kernel learning[J].Pattern Recognition,2011,44(10–11):2614-2629. [21] 于博,牛铮,王力,等.一种基于中性集和均值漂移的彩色遥感图像非监督建筑物提取方法[J].光谱学与光谱分析,2013,33(4):1071-1075. Yu B,Niu Z,Wang L,et al.An unsupervised method of extracting constructions from color remote sensed image based on mean shift and neutrosophic set[J].Spectroscopy and Spectral Analysis,2013,33(4):1071-1075. [22] Guo Y H,Cheng H D.New neutrosophic approach to image segmentation[J].Pattern Recognition,2009,42(5):587-595. [23] Rivieccio U.Neutrosophic logics:Prospects and problems[J].Fuzzy Sets and Systems,2008,159(14):1860-1868. [24] Allen J,Bhattacharya S.A short note on financial data set detection using neutrosophic probability[C]//Proceedings of the first international conference on Neutrosophy,neutrosophic logic,neutrosophic set,neutrosophic probability and statistics.Albuquerque,NM,USA:University of New Mexico,2002:75-80. [25] Li B C,Guo Z G Wen C.Multi-level Fuzzy enhancement and edge extraction of images[J].Fuzzy Systems and Mathematics,2000,14(4):77-83. [26] 林辉,莫登奎,熊育久,等.高分辨率遥感图像均值调整法分割技术研究[J].中南林学院学报:自然科学版,2006,26(4):85-88,95. Li H,Mo D K,Xiong Y J,et al.The method of segmenting high-resolution remote sensing images based on mean-shift[J].Journal of Central South Forestry University,2006,26(4):85-88,95. [27] 沈占锋,骆剑承,胡晓东,等.高分辨率遥感影像多尺度均值漂移分割算法研究[J].武汉大学学报:信息科学版,2010,35(3):313-317. Shen Z F,Luo J C,Hu X D,et al.A mean shift multi-scale segmentation for high-resolution remote sensing images[J].Geomatics and Information Science of Wuhan Univers,2010,35(3):313-317. [28] Sezgin M,Sankur B.Survey over image thresholding techniques and quantitative performance evaluation[J].Journal of Electronic Imaging,2004,13(1):146-168.
2015, Vol. 27 
