Publications related to Sensefly

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This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3- channel RGB image. The challenge was divided into 2 tracks: the “Clean” track sought HS reco ...

We describe the development of a BVLOS (Beyond Visual Line-Of-Sight) model aircraft (UAV). The broad design requirements included (i) fuselage capable of accommodating an imaging package or other instrumentation, (ii) suitability for over-lake BVLOS author ...

Oxygenation is an important marker in many clinical settings, e.g. diagnosing ischaemic brain injuries in preterm infants or determining treatment effectiveness in cancer patients. Despite significant efforts to determine the oxygenation state of the human ...

Unmanned Aerial Vehicles are becoming increasingly popular for a broad variety of tasks ranging from aerial imagery to objects delivery. With the expansion of the areas, where drones can be efficiently used, the collision risk with other flying objects inc ...

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resol ...

In the past few years, fusing NIR and color images has been explored in general computational photography and computer vision tasks, where traditionally only color images are used. The additional information provided by the differences of light and scene r ...

Chromatic aberration distortions, such as wavelength-dependent blur caused by imperfections in photographic lenses, have long been studied in color imaging. The problem becomes more challenging to solve in the case of color and near-infrared joint acquisit ...

Sensefly

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NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

Lake Imaging and Monitoring Aerial Drone

Time-resolved Single-photon Detector Arrays for High Resolution Near-infrared Optical Tomography

Vision-based detection of aircrafts and UAVs

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Joint Acquisition of Color and Near-Infrared Images on a Single Sensor

Gradient-Based Correction of Chromatic Aberration in the Joint Acquisition of Color and Near-Infrared Images