摘要：Until recently, the most highly accurate digital surface models were obtained from airborne lidar. With the development of a new generation of large format digital photogrammetric aerial cameras, a fully digital photogrammetric workflow became possible. This research concerned with the generation of digital surface models and orthophotos as applications from high-resolution images. True digital ortho from the digital aerial camera and orthoimage will be generated using the LIDAR digital elevation model. Leica Photogrammetric Suite (LPS) module of Erdas Imagine 2014 software was utilized for processing. The results show that the automatic digital surface model DSM produced from the digital aerial camera method has very high dense photogrammetric 3D point clouds compared to the LIDAR 3D point clouds. The best cue integration is intensity (pan) nDSM entropy followed by intensity (pan) nDSM mean then intensity image mean entropy after that DSM) image and two texture measures (mean and entropy) followed by the color image. The maximum likelihood classifier is the best followed by minimum distance and the neural network classifier.
