CAJ | 학술논문

针对已有遥感影像模拟方法难以在影像光谱维上扩展的不足,提出了一种基于地物波谱学习的遥感影像波段模拟方法.以地物波谱库作为先验知识,通过支持向量机拟合地物在不同观测波段范围内反射率之间的复杂非线性关系,进而在多光谱遥感影像已有波段的基础上模拟一个新的波段影像.通过模拟TM红波段影像的实验,证明本方法能较为准确地模拟出真实的光谱影像,其模拟结果可靠.进一步将该方法应用于模拟IRS真彩色影像,验证了本方法的实用性.本方法能够有效地解决多光谱影像波段缺损的问题,并在一定程度上可解决较高空间分辨率遥感影像光谱维的不足,为建立地物波谱与遥感像元波谱的定量联系提出了新的思路.
침대이유요감영상모의방법난이재영상광보유상확전적불족,제출료일충기우지물파보학습적요감영상파단모의방법.이지물파보고작위선험지식,통과지지향량궤의합지물재불동관측파단범위내반사솔지간적복잡비선성관계,진이재다광보요감영상이유파단적기출상모의일개신적파단영상.통과모의TM홍파단영상적실험,증명본방법능교위준학지모의출진실적광보영상,기모의결과가고.진일보장해방법응용우모의IRS진채색영상,험증료본방법적실용성.본방법능구유효지해결다광보영상파단결손적문제,병재일정정도상가해결교고공간분변솔요감영상광보유적불족,위건입지물파보여요감상원파보적정량련계제출료신적사로.
A method for remote sensing image band simulation based on ground-object spectral features study by support vector machine(SVM) was proposed, since the existing simulation methods had difficulties in the spectrum bands extension. By taking spectral features into account as a priori knowledge and according to the study of the complicated and nolinear relationships among ground-object spectra in different bands by SVM, a new band image was simulated on the basis of the existing sensor bands of multi-spectral remote sensing images. Based on TM red band simulation experiments, it is confirmed that the method can precisely simulate the real spectral images and the simulation results are reliable. Furthermore, the method was used to simulating IRS true-color experiments. The results verify that it is a practical method to reconstruct the missing bands of multi-spectral image. The method effectively resolves the band defection problem of multi-spectral images, and it also resolves the spectral bands deficiency of high spatial resolution remote sensing image to some extent. The method puts forward a new idea for establishing links between ground-object spectrum and remote sensing pixel spectrum.