A HSI seasonal adaptive method for forest monitor based on gray projection image stabilization algorithm

被引：0

作者：

Tian, Shaoqing ^{[1
]}

Wang, Nihong ^{[1
]}

Qi, Hong ^{[1
]}

Hu, Hong ^{[2
]}

机构：

[1] College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang, China

[2] Academy of Forest Inventory and Planning of State Forestry Administration, Beijing, 100714, China

来源：

International Journal of Applied Mathematics and Statistics | 2013年 / 51卷 / 22期

关键词：

Security systems - Deforestation - Image processing - Stabilization;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

It is an important part that set up video monitor in the forest for forest resources information management. However, with the role of power and direction of wind, the images displayed in the monitor are often unstable. In this case, the observers may feel fatigue at visual, so they have lower efficiency. Based on gray projection digital Image stabilization algorithm can process unstable images, but the accuracy is lower when images information derived from forest. An efficient method was put forward to keep accurate image stabilization based on gray projection algorithm processing. It will reduce the amount of computation of GPA. According to different seasons, we have also constructed a seasonal adaptive strategy. The experimental results show that the proposed method has advantages of accuracy and preferable effect. © 2013 by CESER Publications.

引用

页码：81 / 89