CAJ | 학술논문

在总结PCA、IHS融合算法优缺点的基础上,发展了一种改进的IHS融合算法.利用HPF、Brovery、PCA、IHS及改进的IHS融合算法对ETM+全色和多光谱影像进行了融合实验.通过定性、定量分析比较融合影像的质量,并分别对融合后影像和原始影像进行土地覆盖非监督分类实验.选取原始影像和非监督分类精度最高的一种融合影像进行监督分类实验与比较,发现无论是非监督分类还是监督分类,改进的IHS融合影像精度均较高.
재총결PCA、IHS융합산법우결점적기출상,발전료일충개진적IHS융합산법.이용HPF、Brovery、PCA、IHS급개진적IHS융합산법대ETM+전색화다광보영상진행료융합실험.통과정성、정량분석비교융합영상적질량,병분별대융합후영상화원시영상진행토지복개비감독분류실험.선취원시영상화비감독분류정도최고적일충융합영상진행감독분류실험여비교,발현무론시비감독분류환시감독분류,개진적IHS융합영상정도균교고.
Based on the analysis of image fusion algorithm of Intensity-Hue-Saturation(IHS) and aiming at the limitations of spectrum distortion to IHS fusion algorithm,an improved IHS fusion algorithm was proposed,which adopted the advantage of Principal Component Analysis(PCA).Five different fusion algorithms(HPF,IHS,PCA,Brovery,Improved IHS) was used to fused multispectral images and panchromatic(Pan) image of ETM+.The effectiveness of the five algorithms has been evaluated based on qualitative analysis,quantitative analysis and land cover classification accuracy.The study reveals that the improved IHS fusion algorithm has not only retained spectral information of original images,but also improved the texture information greatly,and it has achieved highest classification accuracy.