The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Research on Selection of Features, Bands and Windows in Classification Based on Texture Feature
Author(s): 
Pages: 54-59
Year: Issue:  3
Journal: Image Technology

Keyword:  纹理特征纹理分析灰度共生矩阵最大似然分类;
Abstract: 结合纹理特征进行分类是提高影像分类精度的重要手段之一.纹理分析结果的好坏直接影响到最终的影像分类精度,而纹理分析结果又与很多因素有关.本文选取武汉某地区的局部多光谱遥感影像,分别在不同纹理特征组合、不同波段组合以及不同分析窗口下利用灰度共生矩阵进行纹理分析,然后采用最大似然法进行影像分类.通过精度分析实验选取出最优纹理特征组合、波段组合以及纹理分析窗口.
Related Articles
No related articles found