Generating NDVI Drone Panorama Images in Python Stitching Code смотреть онлайн

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In this video I share the development of a project that uses near infrared drone imaging to create NDVI stitched panorama mosaics in Python with all coding available on the GitHub Repository here:https://github.com/MuonRay/PythonNDVI

Panorama Stitching, as used in aerial/satellite imaging and space exploration, uses a point matching algorithm (i.e. SIFT) on images taken from a camera then applies a homography transform creating a mosaic composite image.

Here Using a 4K NIR Drone Camera we can create HDR NDVI Panoramas using DNG files for input (a JPEG Version is also available). DNG is the RAW Format used in DJI's Mavic 2 Pro drone and is a data rich file format that requires Python's rawpy library to decode into a form that can be worked with using OpenCV for general image editing generally and panorama stitching specifically in Python.

It is hoped that this coding project will be a less computing intense solution to generating NDVI diagnostics of the environment without the need for expensive or computationally intensive processing such as creating 3D orthomosaics or photogrammetry files which can be relatively more daunting to produce and work with as compared to a panorama.

Essentially any images acquired using a Near-Infrared (NIR) converted camera can be used to generate a modified Normalized Differential Vegetation Index (NDVI). The coding contains standalone colorbar legend and is a batch processing version that works with all DNG files in the working directory. ENDVI and SAVI Indexes also available and with greyscale options. in the larger Python NDVI GitHub project folder. I also encourage open modification and tinkering of this projects code for improving this field of exploration and environmental examination.