我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|Table of Contents|

基于DEM与SPOT5的小班边界自动提取(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2010年05期
Page:
47-50
Column:
研究论文
publishdate:
2010-10-08

Article Info:/Info

Title:
Boundary autoextracting of forest subcompartment based on DEM and SPOT5
Author(s):
HE Baihua LI Chungan
Guangxi Forest Inventory & Planning Institute, Nanning 530011, China
Keywords:
remote sensing image DEM valley lines and ridge lines image segmentation boundary of subcompartment
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2010.05.010
Document Code:
A
Abstract:
Determining boundaries of subcompartments is the foundation of forest resource inventory, which related to the accuracy of spatial location of forest distribution and precision of the number of area. The traditional way of the boundaries determination of subcompartments is based on the method of opposed sloping and drawing on the topographic map, this approach is subjective in some extent,and needs a lot of field surveying works. In a mountain area, boundaries of subcompartments, ridge and valley axes are coincident in generally, according to this characteristic of forest subcompartments,this study firstly extracted the valley and ridge axes based on the DEM data by applying hydrologic simulation methodology. Furthermore, with the integration of SPOT5 image, this study applied the image segmentation technique to determine the boundaries of subcompartments automatically, and assesses the accuracy of extractions, which could be up to 0.579.

References

[1]李明诗,李海涛,彭世揆,等. 从遥感TM影像分类图提取小班界限的算法实现[J]. 南京林业大学学报:自然科学版,2001,25(5):25-28. [2]李春干,代华兵,谭必增,等. 基于spot5图像分割的森林小班边界自动提取[J]. 林业科学研究, 2010,23(1):53-58. [3]李卫正,艾畅,彭世揆. 一种利用地形图和遥感影像提取小班界线的方法[J]. 南京林业大学学报:自然科学版,2009,33(2):69-72. [4]靳海亮,高井祥,康建荣. 基于矢量等高线数据提取山脊线山谷线的研究[J]. 测绘通报,2005,10(10):54-56,67. [5]黄培之. 提取山脊线和山谷线的一种新方法[J]. 武汉大学学报:信息科学版,2001,26(3):247-252. [6]汤国安,杨昕. ArcGIS地理信息系统空间分析实验教程[M]. 北京:科学出版社,2006. [7]查正军. 基于数字高程模型(DEM)的地形特征提取[D]. 上海:同济大学,2007. [8]Wikipedia. Segmentation limage processing[EB/OL].(2009-12-20)[2010-01-10]. http://en.wikipedia.org/wiki/Segmentation_(image_processing). [9]陈忠. 高分辨率遥感图像分类技术研究[D]. 北京:中国科学院遥感应用研究所,2006. [10]谭衢霖,刘正军,沈伟. 一种面向对象的遥感影像多尺度分割方法[J]. 北京交通大学学报,2007,31(4):111-114,119. [11]Definiens A G. Definiens Developer 7: User Guide[Z]. Germany: Definiens A G, 2009. [12]何敏,张文君,王卫红. 面向对象的最优分割尺度计算模型[J]. 大地测量与地球动力学,2009,29(1):106-109. [13]黄惠萍. 面向对象影像分析中的尺度问题研究[D]. 北京:中国科学院遥感应用研究所,2003. [14]陈海燕,万刚. 利用等高线数据自动生成地性线结构线的算法研究[J]. 测绘通报,2003(3):21-23. [15]Mcmaster R B. The integration of simplification and smoothing algorithms in line generalization[J]. Cartographica, 1989, 26(1),101-121. [16]广西林业勘测规划设计院.广西森林资源规划设计调查技术方法[R]. 南宁:广西林业勘测规划设计院,2009.

Last Update: 2010-10-08