A Fusion of SA Rand Optical Remote Sensing Images for Urban Object Extraction Using Multiple Discrete Wavelet Families

Abstract

Abstract: Remote sensing is defined as a technology for acquiring measurements and information about a given phenomenon without being in physical contact with it. Due to its capability to provide the information about the Earth surface through the use of passive and active sensors, mounted on the airborne or space-borne platforms, this technology received a constantly growing interest from public and private institutions in the last decades.Due to the large amount of data to process, the extraction of useful information from remotely sensed data requires the definition of automatic and possibly unsupervised analysis techniques.Sensors and satellites are acting a major role in remote sensing.In the last few decades, the change detection in SAR (Synthetic Aperture Radar) images has gained huge importance as they are being utilized in the field of optical ones. These optical images suffered from huge difficulties like the presence of the speckle noise. Whereas SAR images suffered with low spectral resolution and optical images are suffered with low spatial resolution. These two images are fused with DWT (Discrete Wavelet Transform) to increase the quality of two images. The advantage of DWT is it can represent the signal both in frequency domain and time domain. Consequently, various wavelet families have been applied for fusion process and the resulting images are compared with conventional Daubchies2 wavelets in terms of Mean Square Error (MSE) and Peak signal to Noise Ratio (PSNR).