摘要
世界上许多地方被植被所覆盖,在植被覆盖区提取有用信息一直为一个难题,例如植被覆盖下矿产信息等。常见的植被抑制方法主要是利用信号本身采用同态滤波或者方程式解算进行植被去除,主要缺点依赖经验或者多期数据,实际应用存在困难。本文提出一种利用闭凸锥约束收敛的算法对植被覆盖下有用信息进行提取,这种方法处理后的数据增强了有用信号的强度同时有效减弱植被信号的干扰,对植被覆盖区工程探测、矿产地质调查、水利农业等都具有重要意义。
Vegetation areas exist in the world widely so that it is necessary to identify useful information. However, it is dififcult to extract useful information in vegetation areas, such as information of mineral deposits. The conventional methods of removing remote sensing data noise are based on noise signal itsel or they rely on expert experience or datas from several periods. Therefore, it is dififcult toapply them into practical use. In this paper, a method is mentioned to remove or weaken the background noise in remote sensing images and enhance useful information and restore conventional remote sensing image using convex cone data set model. Finally, data collected with this method can strengthen the degree of the useful information and can effectively weaken the interfere from the vegetation information. t. It has great signiifcance in many aspects in vegetation area such as engineering surveying, geological surveying, and water conservancy agriculture etc.
出处
《安徽建筑大学学报》
2016年第4期79-84,共6页
Journal of Anhui Jianzhu University
基金
自然科学基金项目(编号:41102205)
2012年安徽省质量工程(项目编号2012zy144)
关键词
植被覆盖区
闭凸锥模型
遥感
信息识别
Vegetation area
convex cone data set model
remote sensing
information recognition
