High Resolution RS Image Processing Method for Vehicles Recognition and Location According to the Illumination Model

doi:10.11947/j.AGCS.2015.20130358

Abstract

Abstract: For the issue of vehicles recognition and location, which is the key of traffic RS information processing, an image processing method is presented. Based on the Phong model, features of luminance difference and luminance variance of common objects, including vehicles (dark and bright) and their shadows and road surface, are extracted. By taking advantage of the features of luminance difference, the vehicle regions, containing vehicle and its shadow, are extracted through layer separation firstly. And then, in order to suppress interference caused by vehicle shadow which is easy to cause the connection between abreast running vehicles, as well as suppress interference caused by vehicle window which might disturb the bright vehicle identification, an algorithm is designed according to the features of luminance variance and the position relationship between vehicle and its shadow and window. Through morphological method, the vehicles of different colors are extracted and located on the RS-image. This method had been tested, and more than 92% bright vehicles and 87% dark vehicles are detected.

Key words: traffic RS information processing, vehicle identification and location, phong illumination model, shadow suppress, windows interference

CLC Number:

P237

CAO Tianyang, SHEN Li. High Resolution RS Image Processing Method for Vehicles Recognition and Location According to the Illumination Model[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1): 39-45.

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