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|

森林资源年度监测小班数据自动更新技术(PDF)

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

Issue:
2010年04期
Page:
123-128
Column:
3S技术研究专栏
publishdate:
2010-08-06

Article Info:/Info

Title:
Automatic updating technique of subcompartment data for annual monitoring of forest resource
Author(s):
WEI Anshi YANG Zhigang
Forestry Surveying and Designing Institute of Guangdong Province, Guangzhou 510500, China
Keywords:
forest resources annual monitoring spatial data automatic update RS GIS
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2010.04.027
Document Code:
A
Abstract:
Based on adjacent biannual remote sensing imageries and the associated subcompartment data of last year, automated developing techniques for the subcompartment data was presented in this study. By correlation analysis of multi temporal remote sensing features and vegetation change,certain remote sensing features that might make a greater contribution to the identification of actual vegetation changes were picked up. Combining these selected remote sensing features with prior knowledge of historical subcompartment GIS data, the discrimination method for forest resources changes was established through synthetically analysis, and then the changed boundaries for each subcompartment were extracted by both edge extracting and image segmentation separately method. Subcompartment edges were finally clipped with the generated boundaries,and the forest resource data updating of this year was finished. The results indicated that improper certain pseudo boundaries exist and true boundaries lost when the edge extraction techniques emploved. However,change information extracted by image segmentation algorithms presented a satisfactory result in accordance with the production requirements.The result derived from image segmentation methodologies agree well with those obtained by artificial visual delineation.

References

[1]魏安世. 基于3S技术的年度森林资源监测思路与方法[R]. 南宁:第2届中国林业学术大会,2009.
[2]张国江,刘安兴. 森林资源年度监测中若干问题研讨[J]. 华东森林经理,2002,16(2):37-39.
[3]张朝勋. 大兴安岭东部林区年度森林资源监测[J]. 内蒙古林业调查设计,1995,1(4):9-11.
[4]王忠仁,韩爱惠. 德国奥地利森林资源监测与经营管理的特点及启示[J]. 林业资源管理,2007(3):103-108.
[5]刘安兴. 森林资源年度监测理论与方法研究[D]. 南京:南京林业大学,2006.
[6]田庆久,闵详军. 植被指数研究进展[J]. 地球科学进展,1998,13(4):327-333.
[7]刘永昌. 基于KL变换的TM图像变化信息提取方法[J]. 计算机工程与应用,2002(4):69-71.
[8]胡永胜,赵军红,贺小亮. 高压电力设备红外图像的边缘检测[J]. 国外电子测量技术,2006,25(11):56-59.
[9]杨贵军,武文波,陈步尚,等. 土地利用动态遥感监测中变化信息的提取方法[J]. 东北测绘,2003,26(1):18-21.
[10]何东健. 数字图像处理[M]. 西安:西安电子科技大学出版社,2003.
[11]鲍叶桂. 不同变化信息提取方法在土地利用动态遥感监测中的应用[J]. 测绘通报,2003(8):38-40.
[12]刘鹰. 土地利用动态遥感监测中变化信息提取方法的研究[J]. 遥感信息,1999,56(4):21-4. (责任编辑郑琰燚)第34卷第4期2010年7月南京林业大学学报(自然科学版)Journal of Nanjing Forestry University (Natural Science Edition)Vol.34, No.4Jul., 2010

Last Update: 2010-08-06