Processing of RGB and Multi-spectral Data for Geographic Information System Needs

Recently, drones with cameras, start to be equipped with multi-spectral cameras and more applications based on captured multi-spectral maps are emerging However, multi-spectral data captured always suffer from severe misalignment, holes and noises which make it hard to be used in real applications on a mobile device. In this paper, we propose a method for the entire process of pipeline, from data collection, georeferencing, point cloud processing, orthophoto mosaic, and output data to application. Firstly, we acquire the photos from drones at height of 30 to 120 meters, using cameras of different types such as RGB, Multi-spectral, Thermal cameras for data acquisition. We use the latest knowledge on how to process such data using photogrammetry and correctly georeference them. Secondly, we design geographical information system on a web and mobile device that displays the data according to user requirements.