Remote-Sensing-Based Change Detection Using Change Vector Analysis in Posterior Probability Space: A Context-Sensitive Bayesian Network Approach
Change vector analysis (CVA) and post-classification change detection (PCC) have been the most widely used change detection methods.However, CVA requires sound radiometric correction to achieve optimal performance, and PCC is susceptible to accumulated classification errors.Although change vector analysis in the posterior probability space (CVAPS)