REMOTE-SENSING-BASED CHANGE DETECTION USING CHANGE VECTOR ANALYSIS IN POSTERIOR PROBABILITY SPACE: A CONTEXT-SENSITIVE BAYESIAN NETWORK APPROACH

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)

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Overcoming Pavlovian bias in semantic space

Abstract Action is invigorated in the ENDURA STRENGTH presence of reward-predicting stimuli and inhibited in the presence of punishment-predicting stimuli.Although valuable as a heuristic, this Pavlovian bias can also lead to maladaptive behaviour and is implicated in addiction.Here we explore whether Pavlovian bias can be overcome through training

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