Change Detection Research Based on Multi-temporal and Multi-polarization PALSAR Data

摘要

Synthetic aperture radar (SAR) image change detection is an important technique in the remote sensing area. Long time-series of high quality SAR data can be acquired from spaceborne and airborne SAR systems. In this paper, a logarithmic ratio technique is proposed for two-date multichannel SAR images using ALOS-2PALSAR(L-band SAR). The ratio image can relieve the influence of the speckle noise and improve the discrimination between changed and unchanged areas. Based on the ALOS-2PALSAR data, the paper presents a reliable way to monitor the forest change using Fisher transform and mathematical statistics and get the changed area.