Abstract：A new method for recognition and classification of appropriate background area, base on SVM, is presented.The method can be used to solve false matching problem in terrain matching navigation. Firstly, the relationship between statistical parameters and the precision of matching are established according to the statistical parameters with higher significance got from statistics of background area. Secondly, the statistical parameters mentioned above are input to train the network with SVM. Trial results prove that the method is the feasible and efficient.
$author.xingMing_EN,$author.xingMing_EN,$author.xingMing_EN. STUDY ON RECOGNITION AND CLASSIFICATION OF APPROPRIATE
MATCHING AREA FOR UNDERWATER NAVIGATION BASED ON SVM[J]. jgg, 2013, 33(6): 72-77.
