Revisited Multispectral Image Capture Deployment System for Drones

In this paper, we present the design and evaluation of a Parrot drone multispectral imaging system based on multispectral Red-Green-Blue (RGB) and Near-infrared (NIR) imaging camera units; the multi-color RGB camera captures true color geo-tagged images using a Global positioning System (GPS). The two cameras are triggered simultaneously via the GPIO pins of the raspberry pi boards programmed in Python language. Captured images are stored in native file generated format (10-bit raw data) on a micro SD-card. The intensity-based automatic registration method was applied to define the positive correlation between the two captured RGB and NIR images for display purposes. The above-mentioned method is used to determine image transformation for registration and alignment, by applying the bilinear interpolation. The design was implemented and the prototype was validated in different environmental situations.