9:15 AM - 9:30 AM
[HTT25-02] Acquisition of aerial photographs using drone and computing high resolution ortho mosaic imagery for utilizing as Land use/Land cover image classification
Keywords:Drone, Structure from Motion, Land use, Classification, Remote Sensing, Landscape
This work focus on Indonesia as a case study where less frequent optical data can be collected due to the restriction from the clouds. The drone was utilized and multiple aerial photo where collected through the survey and processed with the Structure from Motion (SfM) technique to develop an ultra-high resolution ortho mosaicked imagery. The produced ortho mosaicked imagery was separated into a three byte binary image each representing the RGB bands, then a conventional approach was taken for image classification to obtain a categorical map of the area. The Multilayer Perceptron neural network classification was performed and segmentation classification was further performed to produce a smoother map-like classification result. The method has shown well in developing the map by using the generated image approximate 5 cm resolution which no other satellite imageries provides. Even with this short limited time of observation, it has maximized the performance for obtaining in-depth detail spatial information of the region, and using its output can lead to sound decisions for land use planning’s or environmental reclamation of the areas.