Transportation analysis with high-resolution satellite imagery by wavelet analysis scheme

The wavelet transform has been regarded as the advanced and effective scheme for signal or image processing. DWT, which stands for discrete wavelets transform, can provide information associated with the quantitative analysis with respect to various feature characteristics contained in a given image. By the way the application scheme by the wavelet signal/image processing, being composed of these wavelet transformations and its inverse processing as inverse discrete wavelets transform (IDWT), allows multi-source data fusion in the actual application domains. In this study, we attempt to apply the wavelet analysis scheme for transportation problems. The transportation application with remotely sensed imagery has expanded as the increasing uses of high-resolution imageries according that being available commercial uses of them. However, wavelet-based analysis schemes toward some transportation applications are rarely reported yet. In this study, we used wavelet transform and texture analysis to get road or building boundary and pavement information. We used space-borne imagery of I M high resolution with KOMPSAT-EOC because KOMPSAT-2 will provide high spatial resolution similar to IKONOS. As the tentative results, this research will be expected to help road construction or repair planning.