CAJ | 학술논문

　　基于Hyperion高光谱与ALOS全色波段的融合图像，运用线性波谱分离模型，对影响城市下垫面分类的因子进行定量分析。结果显示：随着空间分辨率的递增，融合图像光谱保真性呈下降之势，并呈现出阈值现象，但所有相关系数值都大于0.90，表明以融合图像进行线性波谱分离提取城市下垫面具有可靠性；下垫面分类总精度则整体明显下降，Kappa系数值也几乎单调减少。大气校正后下垫面分类的总精度和Kappa系数都明显高于大气校正前；当丰度分割值由10%增至60%时，生成的下垫面分类图像的精度单调降低，表明应慎用50%阈值分割法。
　　기우Hyperion고광보여ALOS전색파단적융합도상，운용선성파보분리모형，대영향성시하점면분류적인자진행정량분석。결과현시：수착공간분변솔적체증，융합도상광보보진성정하강지세，병정현출역치현상，단소유상관계수치도대우0.90，표명이융합도상진행선성파보분리제취성시하점면구유가고성；하점면분류총정도칙정체명현하강，Kappa계수치야궤호단조감소。대기교정후하점면분류적총정도화Kappa계수도명현고우대기교정전；당봉도분할치유10%증지60%시，생성적하점면분류도상적정도단조강저，표명응신용50%역치분할법。
Based on fusion images of Hyperion and ALOS, using linear spectral mixing model, quantitative anal-ysis on fusion effect and its factors was explored, which included atmospheric correction via FLAASH in ENVI, spatial resolution of image, threshold value for classification of rule images. The results showed that much infor-mation would be lost with spatial resolutions becoming coarser, as well as a threshold value existed. Still, correla-tive coefficients between raw images and coarser resolution images were all larger than 0.90 which indicated im-ages kept their raw spectrum and could be used to identify surface of land . Meanwhile, total accuracy and Kap-pa coefficient presented downward trend. Total accuracy and Kappa values for classification corrected by FLAASH were larger than that for uncorrected images, while classification map was turned into pieces which were not in accord with the actual condition. Segment threshold of fraction was one of key factors when fraction images were separated into patches to create classification images. While threshold value was from 10%to 60%, total accuracy of classification maps displayed the opposite trend to decrease. The spectrum in a pixel within the area ratio may tend to be balanced, and there was not absolutely dominant spectrum in the pixels. This revealed the value of 50%, commonly adopted, should be used on condition. And Here the different thresholds should be given for different objects.