Phase Unwrapping Citra Insar Menggunakan Pendekatan Minimisasi Energi Lokal

Abstract

Phase Unwrapping InSAR Image Using Local Energy Minimization Approach. Reconstruction process of phasedata from its cover is called Phase Unwrapping (PU). Ideally, without any noise phrase, singularity, and aliasingproblems, the phase information can be unwrapped easily. However, in fact, the phase data actually always get noisedisturbance and discontinuity. The PU process becomes more complicated and needs a better PU algorithm to addressthe problems properly. In this research, the local PU algorithm is developed using minimization of close related firstorderpixels energy approach. In this method, the energy difference between four close related pixels is counted,followed by getting the probability value to obtain its total multiple ranges. Based on the research using synthesis ringimage and InSAR with coherence 0.8, the Peak Signal to Noise Ratio (PNSR) range will be 30.5373 dB in 20 itteration