【摘要】：基于遙感圖像的目標檢測與運動目標跟蹤是空間對地觀測的重要研究方向，在軍事監(jiān)測、戰(zhàn)場分析、交通管理等領(lǐng)域具有廣闊的應用。針對高分辨率星載遙感圖像的軍事目標檢測以及無人機對運動目標的穩(wěn)定跟蹤成為現(xiàn)今各國學者的研究熱點之一。 本文以高分辨率遙感圖像中的小型團塊目標和遙感圖像序列中的運動目標為研究對象，，圍繞目標檢測和運動目標跟蹤問題開展研究。文章首先總結(jié)了遙感探測基礎(chǔ)、圖像特征分析以及目標檢測理論；針對高分辨率遙感圖像中的小型團塊目標，分析了視覺注意機制在目標檢測中的作用，基于一種新型的視覺顯著性模型，綜合運用背景抑制、MeanShift圖像分割、目標提取等算法，有效地實現(xiàn)了對遙感圖像中小型團塊目標的檢測與自動提�。黄浯吾槍b感圖像序列，分析了已有運動目標跟蹤算法的原理與特點，利用卡爾曼濾波對目標運動狀態(tài)的估計特性，改進原有的CamShift跟蹤算法，更有效的實現(xiàn)了運動目標的穩(wěn)定跟蹤。
[Abstract]:Target detection and moving target tracking based on remote sensing image is an important research direction of space earth observation, which has wide applications in military monitoring, battlefield analysis, traffic management and so on. Military target detection based on high resolution space-borne remote sensing images and the steady tracking of moving targets by UAVs have become one of the hot research topics in many countries. In this paper, the small block target in high resolution remote sensing image and the moving target in remote sensing image sequence are taken as the research objects, and the problem of target detection and moving target tracking is studied. Firstly, the paper summarizes the basis of remote sensing detection, image feature analysis and target detection theory, and analyzes the role of visual attention mechanism in target detection for small block targets in high-resolution remote sensing images. Based on a new visual salience model, the algorithm of background suppression, MeanShift image segmentation and object extraction is used to effectively detect and automatically extract the small and medium block target of remote sensing image. Secondly, aiming at remote sensing image sequence, The principle and characteristics of the existing moving target tracking algorithms are analyzed. The original CamShift tracking algorithm is improved by using the Kalman filter to estimate the moving state of the target, and the stable tracking of moving target is realized more effectively.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP751

【參考文獻】

相關(guān)期刊論文 前4條

1 于江德;樊孝忠;尹繼豪;;基于條件隨機場的中文科研論文信息抽取[J];華南理工大學學報(自然科學版);2007年09期

2 吳s

本文編號：2262573