Daftar Isi: Phase Unwrapping InSAR Image Using Local Energy Minimization Approach

Main Authors:	Adi, Kusworo, Mengko, Tati L.R., Suksmono, Andriyan B., Gunawan, Hendra
Format:	Book application/pdf Journal
Terbitan:	UI Scholars Hub , 2008
Subjects:	phase unwrapping energy minimization Chemical Engineering Civil Engineering Computer Engineering Electrical and Electronics Materials Science and Engineering Mechanical Engineering Metallurgy Ocean Engineering Structural Engineering
Online Access:	https://scholarhub.ui.ac.id/mjt/vol12/iss2/4 https://scholarhub.ui.ac.id/cgi/viewcontent.cgi?article=1112&context=mjt

Daftar Isi:

Phase Unwrapping InSAR Image Using Local Energy Minimization Approach. Reconstruction process of phase data from its cover is called Phase Unwrapping (PU). Ideally, without any noise phrase, singularity, and aliasing problems, the phase information can be unwrapped easily. However, in fact, the phase data actually always get noise disturbance and discontinuity. The PU process becomes more complicated and needs a better PU algorithm to address the problems properly. In this research, the local PU algorithm is developed using minimization of close related firstorder pixels 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 ring image and InSAR with coherence 0.8, the Peak Signal to Noise Ratio (PNSR) range will be 30.5373 dB in 20 itteration.