Extracting individual tree crown by combining spectral and texture features from aerial images
-
摘要: 随着航空摄影测量技术的不断发展与进步,为提高森林资源调查的工作效率,航空影像已经成功应用到林业资源监测中,但在单木冠幅提取上,研究多考虑影像光谱信息,使得分类结果存在偏差。本文提出同时结合航空影像的纹理及光谱特征,利用面向对象的影像分割方法,通过多次实验对比结果确定最优分割尺度,同时在结合正态分布法确定各光谱及纹理特征信息范围的基础上,提取单木冠幅信息。以2012年鹫峰国家森林公园航空像片为数据源,以ENVI5.0为数据处理平台,对影像进行面向对象的分割,提取试验区域内32株树木的冠幅,并结合传统外业实测数据以及立体像对观测数据进行精度分析。试验结果表明:文章所提出的方法试验精度达到90.05%,与传统立体像对量测方法精度相近,但数据获取速度快,满足林业调查基本需求。Abstract: Aero photogrammetry has been used in forestry successfully for improving the efficiency in forest resources survey with the development and progress of it. However, the results in most studies in single tree crown extraction were biased because the merely image spectral information was considered. Individual tree crown can be extracted by jointly combining the texture and spectral features of the aerial images, then determining the optimal segmentation scale while using object-oriented image segmentation method and multiple comparing the experimental results, and defining the information scope of spectral and texture features with normal distribution method. Using aerial images of Jiufeng National Forest Park of Beijing in 2012 as the data source, and using ENVI5.0 as the data processing platform to segment the images, then extract 32 trees’ crown in the test area, and analyze accuracy combined with the traditional field measured data and stereo image measured data. The results showed that the accuracy could achieve 90.05% by the proposed method, it is close to the accuracy by traditional stereo image measure, and data acquisition is quick, so it meets the basic needs of the forestry survey.
-
Key words:
- aerial image /
- tree crown extraction /
- texture feature /
- spectral feature
-
[1] 赵鑫.基于数字航空像片样木的测树因子的估测研究[D].哈尔滨:东北林业大学,2013. [2] ZHAO X. Estimating factors of sample trees based on digital aerial photographs [D]. Harbin: Northeast Forestry University, 2013. [3] 周淑芳.基于机载LIDAR与航空像片的单木树高提取研究[D].哈尔滨:东北林业大学,2007. [4] ZHOU S F. Extracting of single tree height based on airborne LiDAR and aerial photograph [D]. Harbin: Northeast Forestry University,2007. [5] CAO L, DAI J S, XU J X, et al. Optimized extraction of forest parameters in subtropical forests based on airborne small footprint LiDAR technology [J].Journal of Beijing Forestry University, 2014, 36(5):13-21. [6] 曹林,代劲松,徐建新,等.基于机载小光斑LiDAR技术的亚热带森林参数信息优化提取[J].北京林业大学学报,2014,36(5): 13-21. [7] 周坚华.城市绿量测算模式及信息系统[J].地理学报,2001,56(1):14-23. [8] ZHOU J H. Theory and practice on database of three-dimensional vegetation quantity [J]. Acta Geographica Sinica, 2001,56(1):14-23. [9] 张浩,王祥荣.城市绿地的三维生态特征及其生态功能[J].中国环境科学,2001,21(2):101-104. [10] ZHANG H, WANG X R. Three-dimensional ecological characters of urban green space and its ecological function [J].China Environmental Science,2001,21(2):101-104. [11] 胥利红.森林参数数字摄影测量提取技术的应用研究[D].哈尔滨:东北林业大学,2010. [12] XU L H. Digital photogrammetric forest parameters extraction technology application research [D]. Harbin: Northeast Forestry University,2010. [13] WANG J, FENG Z K. Stand tree height measured by digital photogrammetry [J]. Science of Surveying and Mapping, 2011,36(6):77-79. [14] 王佳,冯仲科.航空数字摄影测量对林分立木测高及精度分析[J].测绘科学,2011,36(6):77-79. [15] WU A B. Acquisition and optimization of stand spatial structure research based on high-resolution image [D].Beijing: Beijing Forestry University,2012. [16] 武爱彬.基于高分辨率遥感图像获取与优化林分空间结构研究[D].北京:北京林业大学,2012. [17] 刘晓双,黄建文,胡红波.高空间分辨率遥感的单木树冠自动提取方法与应用[J].浙江林学院学报,2010,27(1):126-133. [18] LIU X S, HUANG J W, HU H B.Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing [J]. Journal of Zhejiang Forestry College, 2010,27(1):126-133. [19] 韦雪花.轻小型航空遥感森林几何参数提取研究[D]. 北京:北京林业大学,2013. [20] WEI X H.Light small airborne remote sensing forest geometric parameters extraction research [D]. Beijing: Beijing Forestry University,2013. [21] 崔少伟.基于高分辨率遥感数据单木树冠提取研究[D]. 哈尔滨:东北林业大学,2011. [22] CUI S W. Extraction research single tree crown based on high resolution remote sensing data [D]. Harbin: Northeast Forestry University, 2011. [23] 刘清旺,李增元,陈尔学,等.利用机载激光雷达数据提取单株木树高和树冠[J].北京林业大学学报,2008,30(6):83-89. [24] LIU Q W, LI Z Y, CHEN E X,et al. Extracting height and crown of individual tree using airborne LIDAR data [J]. Journal of Beijing Forestry University, 2008,30(6):83-89. [25] ZHANG H, WANG H Q, SUN X. Tree crown extraction combining color and texture feature [J].Optical Technique, 2008,34(4):613-616. [26] BLAZQUEZ C H. Computer-based image analysis and tree counting with aerial color infrared photography [J]. Journal of Imaging Technology,1989,15(4):163-168. [27] TIAN X G. Extraction of high-resolution remote sensing image information by object-oriented method [D].Beijing: Chinese Academy of Survey and Mapping,2007. [28] TARP J. Automatic stem mapping in three dimensions by template matching from aerial photographs[J]. Scandinavian Journal of Forest Research, 2002,17(4):359-368. [29] CHANG S, SONG E P. The improvement and application in GIS of radial algorithm [J].Journal of Hubei Institute for Nationalities: Natural Science Edition, 2004,22(1):91-93. [30] 张慧,王宏琦,孙显.结合颜色和纹理特这的树冠提取方法[J].光学技术,2008,34(4):613-616. [31] 田新光.面向对象高分辨率遥感影像信息提取[D].北京:中国测绘科学研究院,2007. [32] 常胜,宋鄂平.射线法的完善及其在地理信息系统中的应用[J].湖北民族学院学报:自然科学版, 2004,22(1):91-93. -
点击查看大图
计量
- 文章访问数: 634
- HTML全文浏览量: 98
- PDF下载量: 16
- 被引次数: 0
下载:
