Sampling strategies using panoramic photographs

使用全景照片的采样策略

• 批准号: 205051-2009
• 负责人: Kershaw, JohnA
• 金额: $ 1.17万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=424344
• 关键词: Sampling; strategies; using; panoramic; photographs

Good forest management requires good management tools and good forest inventory data. Efficient design of forest inventories requires decisions regarding the number and spatial arrangement of sampling units as well as the type of sampling unit utilized. For most forest inventories in Canada, Bitterlich's angle count sampling (ACS) is used. ACS coupled with efficient subsampling of trees for detailed stem measurements is generally cost-effective and less prone to measurement bias and error than other commonly employed sampling units. In this proposal, ACS is applied to 360-degree panoramic photographs. Image analysis algorithms are proposed that will automate the detection and measurement of trees and field sampling techniques to correct for count biases due to hidden trees are proposed.

良好的森林管理需要良好的管理工具和良好的森林清查数据。有效设计森林调查需要就抽样单位的数目和空间安排以及所用抽样单位的类型作出决定。 在加拿大的大多数森林调查中，使用Bitterlich的角度计数抽样（ACS）。ACS加上有效的子采样的树木详细干测量一般是成本效益和不太容易测量偏差和错误比其他常用的采样单位。在这个提议中，ACS被应用于360度全景照片。 图像分析算法提出，将自动检测和测量的树木和现场采样技术，以纠正由于隐藏的树木计数偏差。