Abstract

3D Landscape Construction with High Resolution Imageries and LiDAR Data
Track: Lidar and 3D Mapping
Authors: Weimin Li

With the advancement of remote sensing technologies in the new century, high-resolution remote sensing data are now available in both 2D and 3D formats. This revolution brings both opportunities and challenges to seamlessly integrate multisource and multiformat remote sensing data for the automatic construction of accurate 3D landscape.
In this paper, the author develops a comprehensive approach for, first, improving the measurement of 2D detailed landscape settings, and second, constructing accurate simulation of 3D urban landscape settings, with the above-mentioned data. The developed approach integrates automatic imagery registration, image segmentation, object-based image classification and 3D modeling.
The above approach is tested in the Oakland Metropolitan Area, California. The accuracy of the approach is assessed with image-truth data and in-situ survey data. The results indicate that LiDAR data plays an important role in improving classification of landscape objects, and providing more accurate measurement of the vertical dimensions of landscape objects.