Sökning: "Multispectral Sensor"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden Multispectral Sensor.
1. Multi-spectral X-ray imaging with a laser-plasma accelerator
Master-uppsats, Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenSammanfattning : This master thesis focuses on the creation of an algorithm to perform multispectral imaging of a metallic target using X-rays. The generation of an ultrashort high-power low-divergent X-ray beam is performed by means of a Ti:Sapphire laser driven wake-field plasma accelerator. LÄS MER
2. Combination analysis of multispectral and radar satellite data
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Remote sensing technologies, such as satellite imagery, have proven to be a powerful tool for land cover classification when combined with machine learning algorithms. Depending on which type of sensor is used for the imagery, different properties of land cover classes may be distinguished. LÄS MER
3. Ashish Vivekar (2020) Evaluation of methodology for estimating crop yield from multispectral UAV images : a case study at Lönnstorp, Sweden
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Adaptation of modern Unmanned Aerial Vehicle (UAV) and multispectral sensor technology in agriculture can enhance the capacity to accurately monitor crops. But these technologies come with its own set of challenges. LÄS MER
4. Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides – an Example from Disko Island, West Greenland
Master-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : The senseFly eBeePlus fixed-wing drone is a market available UAV compatible with a range of sensors that includes the Parrot Sequoia+ multispectral camera. Commercial applications of the drone predominantly focus on agriculture, environmental management, and engineering applications. LÄS MER
5. Estimating above ground biomass in a Salix plantation using high resolution UAV images
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : In forest biomass estimations, three dimensional (3D) canopy structure data derived from images captured by unmanned aerial vehicles (UAVs), also known as drones, has shown potential due to the flexibility and cost efficiency of the method. However, little research has been done for its applicability in bioenergy forest. LÄS MER