The Knowledge Acquisition Based on Markov Random Field for Aeroimage Understanding

This paper discusses the three kinds of knowledge based on Markov random field:the distance between the same class images is the shortest;some feature parameters of neighbour pixels are evidence;and images have direction feature.It also presents how the three kinds of knowledge can be acquired and applied in image understanding.Experiments show that these knowledge can help to improve the correct ratio of image understanding.