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This paper is reflecting a study on developing and reconstructing a 3D model from registering an aerial image on a point clouds or aDTM. The point clouds has been chosen as the main data for reconstructing a 3D model. For achieving the aspects of the study, allobjects were individually detected and extracted from the point clouds and captured in a particular layer in a CAD environment. Theneach object will be converted to a raster format and will be registered on the image. This process is called the reverse registration inthis study. Since the object segmentation and detection from a digital image is a complex process, the reverse registration isimplemented in order to assist the process of the object detection from the image. This paper will discuss two methods of objectdetection from point clouds for the reverse registration. These methods were proposed and implemented for this study. Also, thepaper will discuss the reverse registration and how this method improves the process of the object detection and extraction from theimage. Discussion of reconstructing a 3D model from registering the digital image on a DTM or DSM (both of which developedfrom the point clouds data) is another goal of this paper

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

AN INNOVATION APPROACH FOR DEVELOPING A 3D MODEL BY REGISTERING A MONO IMAGE ON A DTM