2019/04/19 by Jérémy Anger, Anger, Jérémy, Carlo de Franchis +3 · 1 citation
Computer Science · Engineering · #Advanced Image Fusion Techniques #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Satellite Image Processing and Photogrammetry
paper · pdf · doi:10.48550/arxiv.1904.09159
openalex publication_date 2019/04/19 · openalex created_date 2022/07/24 · openalex updated_date 2026/07/28
New micro-satellite constellations enable unprecedented systematic monitoring\napplications thanks to their wide coverage and short revisit capabilities.\nHowever, the large volumes of images that they produce have uneven qualities,\ncreating the need for automatic quality assessment methods. In this work, we\nquantify the sharpness of images from the PlanetScope constellation by\nestimating the blur kernel from each image. Once the kernel has been estimated,\nit is possible to compute an absolute measure of sharpness which allows to\ndiscard low quality images and deconvolve blurry images before any further\nprocessing. The method is fully blind and automatic, and since it does not\nrequire the knowledge of any satellite specifications it can be ported to other\nconstellations.\n