Essays about: "Digital Surface Model DSM"
Showing result 1 - 5 of 14 essays containing the words Digital Surface Model DSM.
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1. An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Anthropogenic pressure on coastal areas continues to increase, thus intensifying coastal erosion. Coastal monitoring programs are therefore essential to prevent severe ecosystem and economic consequences. Successful coastal monitoring schemes require highly accurate analysis-ready Digital surface models (DSMs) derived using the same workflow. READ MORE
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2. Analysis of coastal erosion between different flights of UAV
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : More than 600 million people are living in coastal areas in the world. According to the trend of population migration, the global coastal area population may increase to more than 1 billion by 2050. READ MORE
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3. 3D Reconstruction from Satellite Imagery Using Deep Learning
University essay from Linköpings universitet/DatorseendeAbstract : Learning-based multi-view stereo (MVS) has shown promising results in the domain of general 3D reconstruction. However, no work before this thesis has applied learning-based MVS to urban 3D reconstruction from satellite images. In this thesis, learning-based MVS is used to infer depth maps from satellite images. READ MORE
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4. Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides – an Example from Disko Island, West Greenland
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : 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. READ MORE
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5. Evaluating DCNN architecturesfor multinomial area classicationusing satellite data
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : The most common approach to analysing satellite imagery is building or object segmentation,which expects an algorithm to find and segment objects with specific boundaries thatare present in the satellite imagery. The company Vricon takes satellite imagery analysisfurther with the goal of reproducing the entire world into a 3D mesh. READ MORE