摘要
用发现概率统计遥感图象中预先不能确定的目标被发现与否的情况,是从随机事件的角度出发,反映发现过程中,随机因素对图象效果的影响。尤其是对采取一定措施的遥感图象,目标更介于发现与未发现的临界状态,更难以用绝对肯定或绝对否定两种概念来界定。传统使用的目标效果概率统计评价方法,只反映了其中的随机因素,不能反映有很大影响的心理物理学因素,它们是一些难以确切描述和量化的模糊因素。利用模糊数学模型和概率统计的交叉融合,建立基于心理物理学的图象效果评价方法和计算机仿真模型,经实际检验证明实用有效、结果准确。技术途径可用于解决图象相似系统的效果评价问题。
As for the remote sensing images particular, the target is on the critical state of found and unfound. It is not an easy task to define with an absolute affirmation or absolute negation. The target effect of the remote sensing images is influenced not only by the shape and color of the target itself, but also by the factors such as the equipment, the background similarity, the atmosphere and climate, and the following processing. The image effect evaluation method and computer simulation model are set up based on the interaction of mathematical model and probability statistics, and on the Hamming distance. The technology and thinking method can be applied to solve the problem of image effect evaluation in other similar systems.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2005年第2期417-420,共4页
Journal of System Simulation
关键词
图象评价
仿真模型
模糊数学
概率统计
image evaluation
simulation model
fuzzy mathematics
probability statistics