Feature Vector of Low Frequency Wavelet Domain Applied in Aerial Image Retrieval

Low frequency wavelet coefficients are important to image recognition and understanding. While the applications of the low frequency wavelet coefficients are limited in nowadays. In this paper, the authors present a method of the aerial image retrieval by extracting BFV (binary feature vector, BFV) and TFV (ternary feature vector, TFV) of low frequency wavelet coefficients based on non-parameter local transformation, which develops the application of the low frequency wavelet coefficients. In the experiments, our method is compared with the GLCM, Markov and Fractal algorithms, and the results prove that our method is efficient.