计算机工程与科学
計算機工程與科學
계산궤공정여과학
COMPUTER ENGINEERING & SCIENCE
2010年
4期
62-66
,共5页
遥感图像%多光谱%无损压缩%预测编码%变换
遙感圖像%多光譜%無損壓縮%預測編碼%變換
요감도상%다광보%무손압축%예측편마%변환
remote sensing image%multi-spectral%lossless compression%predictive coding%transform
利用多光谱传感器对同一观测对象在多个窄光谱范围上获得的图像,称为多光谱遥感图像.这类具有高空间和谱间分辨率的谱图像数据量大,其存储和传输都比较困难.因此,对海量数据进行有效的数据压缩便成了遥感资料应用中迫切需要解决的问题之一.为了防止有用信息的丢失而影响图像的进一步处理和应用,采用无损数据压缩方法是解决该问题的有效途径之一.本文分析了多光谱图像的空间和谱间相关性等特点,从多光谱图像预处理、预测和变换无损压缩方法等方面介绍了目前主要的多光谱图像无损压缩方法,并对其特点进行了对比分析.
利用多光譜傳感器對同一觀測對象在多箇窄光譜範圍上穫得的圖像,稱為多光譜遙感圖像.這類具有高空間和譜間分辨率的譜圖像數據量大,其存儲和傳輸都比較睏難.因此,對海量數據進行有效的數據壓縮便成瞭遙感資料應用中迫切需要解決的問題之一.為瞭防止有用信息的丟失而影響圖像的進一步處理和應用,採用無損數據壓縮方法是解決該問題的有效途徑之一.本文分析瞭多光譜圖像的空間和譜間相關性等特點,從多光譜圖像預處理、預測和變換無損壓縮方法等方麵介紹瞭目前主要的多光譜圖像無損壓縮方法,併對其特點進行瞭對比分析.
이용다광보전감기대동일관측대상재다개착광보범위상획득적도상,칭위다광보요감도상.저류구유고공간화보간분변솔적보도상수거량대,기존저화전수도비교곤난.인차,대해량수거진행유효적수거압축편성료요감자료응용중박절수요해결적문제지일.위료방지유용신식적주실이영향도상적진일보처리화응용,채용무손수거압축방법시해결해문제적유효도경지일.본문분석료다광보도상적공간화보간상관성등특점,종다광보도상예처리、예측화변환무손압축방법등방면개소료목전주요적다광보도상무손압축방법,병대기특점진행료대비분석.
Multi-spectral remote sensing images are those obtained from one object by the multi-spectral sensor in multiple narrow spectral ranges. Large amount of multi-spectral image data produced by high spatial and spectral resolution poses a great challenge to transmit and storage. As a result, it becomes imperative to develop an efficient compression technique. Since the loss of useful information will affect further processing and applications of the images, a lossless scheme is preferred. In this paper an analysis of the multi-spectral images space and spectral features is presented, and useful lossless compression techniques such as preprocessing, prediction and transformation are introduced, and also a comparative analysis of these techniques is discussed.
