Freezing stress is one of the meteorological disasters causing significant loss of agricultural production in China, and easily leads to serious threat for national crop security. Image processing technique was used to extract the coverage characteristics of freezing stress and normal wheat, while hyperspectral remote sensing technology was utilized to explore spectral changes of freezing stress and normal wheat and determine the sensitive recognition bands. The results indicated that the green and red bands in visible ranges are identification bands of freezing stress, especially in the green peak and red valley location; near-infrared bands are sensitive range to detect freezing stress. In conclusion, spectral analysis combination with image processing technology is feasible for analyzing and extracting freeze injury characteristics of wheat in the field.