Abstract:

【Objective】 This study aims on the spectral features and sensitive spectrum wave band in the apple florescence. 【Method】Taking Qixia City as the research region, using supervised classification of the flowering apple digital photos to extract the target information of the ratio of apple flower/leaf and apple flower/tree, this paper carries out the correlation analysis of the ratio data with synchronization hyperspectral detection data, to determine the spectral features and sensitive spectrum wave band of the apple florescence. 【Result】 The spectral features of apple florescence mainly presented as absorption of blue light and red light, reflection of green light, and the strong reflection of near-infrared between 750 nm to 1 300 nm. The change of apple florescence spectral features and the target information of apple flower/leaf and apple flower/tree present a good correlation, and it indicates that the sensitive wave band range is 400-530 nm cyan light, 570-700 nm orange-red light, and the 760-1 350 nm nearly infrared of medium flower/tree of apple trees. 【Conclusion】 This study puts forward an effective way of the hyperspectral remote sensing with the combination of digital photos, preliminaryly proved the spectral characteristics of flowering apple trees, and it has provided a theoretical basis and technical support for the extracting apple's field information, nutrition diagnosis and apple production and management of real-time and informationization.

Key words: hyperspectral')">hyperspectral, digital photoes, apple florescence, spectral features, correlation