GVG

Method of Verifying the Accuracy of Remotely Sensed Image Interpretation Based on GVG Sample System

基于GVG采样系统检验遥感图像解译精度的方法&以其在农作物遥感估产中的应用为例

The incremental construction procedure in this paper can be extended into three-dimensional spaces, and the base component of the map system is generalized Voronoi graph ( GVG) in three-dimensional.

此外，本文的增量式构造方法扩展到用于三维空间，此时地图的基本构成为三维空间中的广义Voronoi图（GVG）。

The GVG system is a new solution, with the conception of sampling lineage instead of the traditional sampling point or sampling area, to extracting crop acreage information.

线采样系统提出以线状样区代替以往成数抽样中的点样区与面积样区概念，通过统计线状样区内作物种植面积成数来反映区域总体农作物种植面积成数。

High order GVG edges in High order Generalized Voronoi Graph ( HGVG) are introduced to solve this problem.

为此采用高阶广义Voronoi图（HGVG）中的高阶GVG边以解决连通性问题。

Application of GVG Sampling System on the Forestry Remote Sensing Interpretation

GVG采样系统在林业遥感解译中的应用初探

Reliability Analysis of the Accuracy of Crop Yield Estimation Based on GVG Sampling System

基于GVG采样系统的农作物估产可信度分析&以四川盆地为例

Extraction of Crop Acreage Using GVG System and Its Precision Analysis

利用GVG线采样技术提取农作物种植面积及其精度分析