测绘通报 ›› 2017, Vol. 0 ›› Issue (12): 90-93,102.doi: 10.13474/j.cnki.11-2246.2017.0386

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Recognition of Damage Buildings in Hollow Village Based on Texture Feature of Gray Level Co-occurrence Matrix

XIE Jiali1, LI Yongshu1, LI Hechao2, WU Xi2   

  1. 1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
    2. Center of Land Acquisition and Consolidation in Sichuan Province, Chengdu 610041, China
  • Received:2017-03-15 Revised:2017-05-12 Online:2017-12-25 Published:2018-01-05

Abstract: Rapid recognition of hollow villages from UAV images can not only accurately get location distribution of damaged buildings,but also provide guidance material for field investigation.This paper presents a method of visualizing damage buildings in hollow villages.Firstly,we mark the buildings one by one in experimental area.Then,the texture and spectral feature parameters of each building are calculated.For a single building,parameters that are positively correlated with the level of damage are normalized to form a parameter vector.Finally,the distribution and damage level of damaged buildings can be exhibited according to the visualization results of parameter vectors.Experimental results show that this method can realize recognizing damage buildings in UAV images,and get initial understanding of buildings damage level.In summary,this method can effectively and rapidly realize the recognition of damaged buildings with high resolution images.

Key words: gray-level co-occurrence matrix, textural feature, spectral feature, hollow village, damage building

CLC Number: