基于高空间分辨率影像的林业小班遥感区划系统设计与实现

吴春争; 冯益明; 舒清态; 李增元; 武红敢; 车腾腾

doi:10.11833/j.issn.2095-0756.2011.01.007

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基于高空间分辨率影像的林业小班遥感区划系统设计与实现

吴春争 , 冯益明 , 舒清态 , 李增元 , 武红敢 , 车腾腾

文章导航 > 浙江农林大学学报 > 2011 > 28(1): 40-45

吴春争, 冯益明, 舒清态, 李增元, 武红敢, 车腾腾. 基于高空间分辨率影像的林业小班遥感区划系统设计与实现[J]. 浙江农林大学学报, 2011, 28(1): 40-45. doi: 10.11833/j.issn.2095-0756.2011.01.007

引用本文:

WU Chun-zheng, FENG Yi-ming, SHU Qing-tai, LI Zeng-yuan, WU Hong-gan, CHE Teng-teng. Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images[J]. Journal of Zhejiang A&F University, 2011, 28(1): 40-45. doi: 10.11833/j.issn.2095-0756.2011.01.007

Citation:

WU Chun-zheng, FENG Yi-ming, SHU Qing-tai, LI Zeng-yuan, WU Hong-gan, CHE Teng-teng. Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images[J]. Journal of Zhejiang A&F University, 2011, 28(1): 40-45. doi: 10.11833/j.issn.2095-0756.2011.01.007

基于高空间分辨率影像的林业小班遥感区划系统设计与实现

doi: 10.11833/j.issn.2095-0756.2011.01.007

1.
西南林业大学资源学院，云南昆明 650224;
2.
中国林业科学研究院荒漠化研究所，北京 100091;
3.
中国林业科学研究院资源信息研究所，北京 100091

详细信息

通信作者: 冯益明

Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images

1.
Faculty of Resources，Southwest Forestry University，Kunming 650224，Yunnan，China;
2.
Institute of Desertification Studies，The Chinese Academy of Forestry，Beijing 100091，China;
3.
Research Institute of Forest Resources Information Techniques，The Chinese Academy of Forestry，Beijing 100091，China

More Information

Corresponding author: FENG Yi-ming

摘要: 小班区划是森林资源调查中最主要的任务。为了减少小班区划工作量，提高工作效率以及保证小班区划的一致性，从功能需求角度，设计了一种基于高空间分辨率遥感影像进行林业小班区划的系统，并对系统各部分功能进行较为详细的设计与说明。开发并实现了遥感数据处理、多尺度分割和面向对象分类等关键技术，借助该系统，可以实现基于高空间分辨率遥感影像进行林业小班边界的内业自动生成，小班区划精度符合林业实际生产需求。目前，该系统已在重庆和海南等地推广应用。图8表1参11
- 森林测计学 /
- 高空间分辨率影像 /
- 林业 /
- 遥感 /
- 小班区划系统
Abstract: Sub-compartment division plays a major role in forest resource survey. In order to reduce the workload of sub-compartment division，enhance working efficiency and ensure the consistency of sub-compartment division，a forestry sub-compartment division system was designed on the basis of high-spatial resolution remote sensing image from the angle of function requirement. Moreover，each function of the system was designed and described in detail in this paper. Some key techniques such as processing of remote sensing images，multi-scale segmentation algorithm and object-oriented classification etc. were also developed. With the help of the system，the work of generating the forestry sub-compartment boundary automatically based on high-spatial resolution remote sensing image could be done in office，and the accuracy of sub-compartment division could meet the practical demand of forestry practice. At present，the system had been applied in Chongqing and Hainan.［Ch，8 fig. 1 tab. 11 ref］
- forest mensuration /
- high-spatial resolution image /
- forestry /
- remote sensing /
- sub-compartment division system

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基于高空间分辨率影像的林业小班遥感区划系统设计与实现

doi: 10.11833/j.issn.2095-0756.2011.01.007

1. 西南林业大学资源学院，云南昆明 650224;

2. 中国林业科学研究院荒漠化研究所，北京 100091;

3. 中国林业科学研究院资源信息研究所，北京 100091

通信作者: 冯益明

刊出日期: 2011-02-20

关键词:

摘要: 小班区划是森林资源调查中最主要的任务。为了减少小班区划工作量，提高工作效率以及保证小班区划的一致性，从功能需求角度，设计了一种基于高空间分辨率遥感影像进行林业小班区划的系统，并对系统各部分功能进行较为详细的设计与说明。开发并实现了遥感数据处理、多尺度分割和面向对象分类等关键技术，借助该系统，可以实现基于高空间分辨率遥感影像进行林业小班边界的内业自动生成，小班区划精度符合林业实际生产需求。目前，该系统已在重庆和海南等地推广应用。图8表1参11

English Abstract

Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images

1. Faculty of Resources，Southwest Forestry University，Kunming 650224，Yunnan，China;

2. Institute of Desertification Studies，The Chinese Academy of Forestry，Beijing 100091，China;

3. Research Institute of Forest Resources Information Techniques，The Chinese Academy of Forestry，Beijing 100091，China

Corresponding author: FENG Yi-ming

Publish Date: 2011-02-20

Keywords:

Abstract: Sub-compartment division plays a major role in forest resource survey. In order to reduce the workload of sub-compartment division，enhance working efficiency and ensure the consistency of sub-compartment division，a forestry sub-compartment division system was designed on the basis of high-spatial resolution remote sensing image from the angle of function requirement. Moreover，each function of the system was designed and described in detail in this paper. Some key techniques such as processing of remote sensing images，multi-scale segmentation algorithm and object-oriented classification etc. were also developed. With the help of the system，the work of generating the forestry sub-compartment boundary automatically based on high-spatial resolution remote sensing image could be done in office，and the accuracy of sub-compartment division could meet the practical demand of forestry practice. At present，the system had been applied in Chongqing and Hainan.［Ch，8 fig. 1 tab. 11 ref］

引用本文:

Citation:

WU Chun-zheng, FENG Yi-ming, SHU Qing-tai, LI Zeng-yuan, WU Hong-gan, CHE Teng-teng. Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images[J]. Journal of Zhejiang A&F University, 2011, 28(1): 40-45. doi: 10.11833/j.issn.2095-0756.2011.01.007

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基于高空间分辨率影像的林业小班遥感区划系统设计与实现

doi: 10.11833/j.issn.2095-0756.2011.01.007

通信作者: 冯益明

Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images

Corresponding author: FENG Yi-ming

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出版历程

基于高空间分辨率影像的林业小班遥感区划系统设计与实现

doi: 10.11833/j.issn.2095-0756.2011.01.007

1. 西南林业大学 资源学院，云南 昆明 650224; 2. 中国林业科学研究院 荒漠化研究所，北京 100091; 3. 中国林业科学研究院 资源信息研究所，北京 100091

通信作者: 冯益明

English Abstract

Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images

Corresponding author: FENG Yi-ming

全文HTML

目录

1. 西南林业大学资源学院，云南昆明 650224;

2. 中国林业科学研究院荒漠化研究所，北京 100091;

3. 中国林业科学研究院资源信息研究所，北京 100091