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Digital photogrammetric products from the integration of imagery and lidar datasets are a reality nowadays. When the imagery and lidar surveys are performed together and the camera is connected to the lidar system, a direct georeferencing can be applied to compute the exterior orientation parameters of the images. Direct georeferencing of the images requires accurate interior orientation parameters to perform photogrammetric application. Camera calibration is a procedure applied to compute the interior orientation parameters (IOPs). Calibration researches have established that to obtain accurate IOPs, the calibration must be performed with same or equal condition that the photogrammetric survey is done. This paper shows the methodology and experiments results from in situ self-calibration using a simultaneous images block and lidar dataset. The calibration results are analyzed and discussed. To perform this research a test field was fixed in an urban area. A set of signalized points was implanted on the test field to use as the check points or control points. The photogrammetric images and lidar dataset of the test field were taken simultaneously. Four strips of flight were used to obtain a cross layout. The strips were taken with opposite directions of flight (W-E, E-W, N-S and S-N). The Kodak DSC Pro SLR/c digital camera was connected to the lidar system. The coordinates of the exposition station were computed from the lidar trajectory. Different layouts of vertical control points were used in the calibration experiments. The experiments use vertical coordinates from precise differential GPS survey or computed by an interpolation procedure using the lidar dataset. The positions of the exposition stations are used as control points in the calibration procedure to eliminate the linear dependency of the group of interior and exterior orientation parameters. This linear dependency happens, in the calibration procedure, when the vertical images and flat test field are used. The mathematic correlation of the interior and exterior orientation parameters are analyzed and discussed. The accuracies of the calibration experiments are, as well, analyzed and discussed.

O conhecimento dos parâmetros que definem a geometria interna de uma câmara é fundamental em trabalhos fotogramétricos. Porém, é de suma importância que o processo de calibração da câmara seja realizado em condições técnicas e ambientais similares ao aerolevantamento. No georreferenciamento direto os parâmetros de orientação exterior da câmara podem ser determinados com base nas observações GPS e INS. A utilização destes parâmetros, em um processo de calibração com parâmetros adicionais, possibilita a atenuação de correlações entre parâmetros de orientação interior e exterior. Este artigo investiga o uso dos parâmetros de posição da câmara e diferentes configurações de pontos de apoio altimétrico na calibração em serviço de uma câmara digital Kodak DSC Pro SLR/c. O impacto do uso de faixas cruzadas na calibração em serviço foi avaliado pela análise da correlação estatística entre os parâmetros de orientação interior e exterior. Finalmente, as exatidões planialtimétricas obtidas nos experimentos de calibração em serviço, com diferentes configurações de pontos de apoio altimétrico e faixas de voo, foram comparadas através da análise das discrepâncias de pontos de verificação.

Recent developments in LIDAR technology lead to the availability of the waveform systems, which capture and digitize the whole return of the emitted LASER pulse. As many objects may cause multiple returns in the same echo, one task is to detect and separate different echoes within the same digitized measurement. In this paper the results of a study aimed at LASER signal waveform decomposition using genetic algorithms are introduced. The proposed method is based on the Gaussian decomposition approach and analyzes each digitized return to compute one or more points. Initially, the number of peaks contained in the waveform is determined by a simple peak detection method, with a local maximum point algorithm. When more than one peak is detected, genetic algorithms are applied to estimate the amplitude, time and standard deviation of each peak within the digitized signal. With this methodology it was possible to increase the number of points by approximately 17 % compared to the point cloud obtained using commercial software. The best results were obtained in areas with high vegetation, and thus the methodology can be applied to the generation of denser points cloud in forest areas.

Commission I, WG I/3KEY WORDS: Photogrammetry; System Calibration; LIDAR; SLR Digital Camera, Aerotriangulation ABSTRACTNowadays lidar and photogrammetric surveys have been used together in many mapping procedures due to their complementary characteristics. Lidar survey is capable to promptly acquire reliable elevation information that is sometimes difficult via photogrammetric procedure. On the other hand, photogrammetric survey is easily able to get semantic information of the objects. Accessibility, availability, the increasing sensor size and quick image acquisition and processing are properties that have raised the use of SLR digital cameras in photogrammetry. Orthoimage generation is a powerful photogrammetric mapping procedure, where the advantages of the integration of lidar and image datasets are very well characterized. However, to perform this application both datasets must be within a common reference frame. In this paper, a procedure to have digital images positioned and oriented in the same lidar frame via a combination of direct and indirect georeferencing is studied. The SLR digital camera was physically connected with the lidar system to calculate the camera station's position in lidar frame. After that, the aerotriangulation supported by camera station's position is performed to get image´s exterior orientation parameters (EOP).