A novel iterative algorithm to estimate the hidden states of wavelet coefficients of SAR images is proposed by combing the Hidden Markov Tree (HMT) and the Hidden Markov Random Field (HMRF) model.

• 该文将隐马尔可夫树(HMT)和隐马尔可夫随机场(HMRF)两种模型相结合,提出了一种新的估计SAR图像小波系数隐状态的迭代算法。