Applying Frequency Spectrum Energy Analysis Theory and Methodto Recognize Objects for Remote Sensing Image

Relying on the Parseval energy conservation theorem and‘Theory of Tupu’，thefeasibility of object recognition methods based on‘pixel-baesd spectral energy’to‘feature-based spectrum energy’was demonstrated.A preliminary investigation of the percentage ofspectral energy contained by circles of different radius taking total energy,and the spectralenergy distribution was undertaken.Meanwhile,aquantitative analysis of coarse-grainedlevel,cyclical,and directional information was studied using wedge-shaped and ring-shapedenergy spectrum sampling methods.Finally,based on low-frequency and high-frequency rec-ognition marks,residential buildings were taken as an a test-case to assess this theory andmethod.Building objects were extracted with matched Gabor filters having direction and fre-quency selectivity.The results indicate that this method provides a new and effective ideameans further identify and extract information from high resolution imagery.