Sub-pixel edge localization based on laser waveform analysis

Laser range data is of high interest in photogrammetry. However, compared to passive imagery, it usually has a lower image resolution, making geometry extraction and modeling challenging. A method to overcome this handicap using a laser scanner capable of full waveform analysis is proposed. The recorded pulse waveform is analyzed to find range and intensity values for all of the surfaces in the beam footprint. Sub-pixel edge localization is implemented and tested for straight edges of man-made objects, allowing a much higher precision of geometry extraction in urban areas. The results show that it is possible to find edges with an accuracy of at least one tenth of a pixel.     «

Laser range data is of high interest in photogrammetry. However, compared to passive imagery, it usually has a lower image resolution, making geometry extraction and modeling challenging. A method to overcome this handicap using a laser scanner capable of full waveform analysis is proposed. The recorded pulse waveform is analyzed to find range and intensity values for all of the surfaces in the beam footprint. Sub-pixel edge localization is implemented and tested for straight edges of man-made o...     »