Change Detection in Bi-Temporal Alos-2 Palsar-2 Polarimetric Data

Autor: Soo Chin Liew, Ken Yoong Lee, Leong Keong Kwoh, Chen Guang Hou
Rok vydání: 2020
Předmět:
Zdroj: IGARSS
DOI: 10.1109/igarss39084.2020.9324434
Popis: This paper examines two test statistics, namely, likelihood ratio statistic and Roy's largest eigenvalue, for detecting changes in multi-look bi-temporal ALOS-2 PALSAR-2 fully polarimetric data. The latter turns into the well-known intensity ratio when applying to single-polarization data. The experimental results showed a comparable good performance of both the statistics in change detection. A more comprehensive change map was obtained from the fully polarimetric data compared with the use of only single-polarization data.
Databáze: OpenAIRE