Essays about: "satellite imagery analysis"
Showing result 1 - 5 of 64 essays containing the words satellite imagery analysis.
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1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE
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2. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
University essay from Linköpings universitet/DatorseendeAbstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE
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3. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. READ MORE
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4. Deep Neural Networks for Object Detection in Satellite Imagery
University essay from Uppsala universitet/Avdelningen Vi3Abstract : With the development of small satellites it has become easier and cheaper to deploy satellites for earth observation from space. While optical sensors capture high-resolution data, this data is traditionally sent to earth for analysis which puts a high constraint on the data link and increases the time for making data based decisions. READ MORE
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5. Satellite Imagery Big Data for the Sustainable Development of Energy Access
University essay from Malmö universitet/Fakulteten för kultur och samhälle (KS)Abstract : One of the many challenges humanity faces is developing energy access in a sustainable manner, that does not further contribute to the burning of fossil fuels, increasing greenhouse gas emissions, and global warming. In 2020, 2. READ MORE