A new classification technology is proposed in the paper. It abandons defects of traditional linear local search, introducing jumping search. It can jump out the trap of the local better solution and find the best solution. The article relates its principles detailedly. And using the jumping search of simulated annealing, we have done algorithm training. Experimental results show that this method is more effective than local search on identification and classfication of gas's infrared remote sensing data.