Essays about: "infrared imagery"
Showing result 1 - 5 of 19 essays containing the words infrared imagery.
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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. Development of a Level-0 Geoprocessing Platform for a Multispectral Remote Sensing Payload
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : This thesis presented an overview of the development of a geolocating algorithm as part of a geoprocessor for raw satellite imagery. This algorithm was devised for and limited by the specifications of a state-of-the-art multispectral telescope designed by Aistech Space, hosted onboard the Guardian spacecraft, which will observe Earth through the visible, near infrared, and thermal infrared bands of the electromagnetic spectrum. READ MORE
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3. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. READ MORE
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4. Tracking Under Countermeasures Using Infrared Imagery
University essay from Linköpings universitet/DatorseendeAbstract : Object tracking can be done in numerous ways, where the goal is to track a target through all frames in a sequence. The ground truth bounding box is used to initialize the object tracking algorithm. Object tracking can be carried out on infrared imagery suitable for military applications to execute tracking even without illumination. READ MORE
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5. Predicting biodiverse semi-natural grasslands through satellite imagery and machine learning
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : Semi-natural grasslands are amongst the most biodiverse ecosystems in Europe, though their importance they are experiencing a declining trend. To monitor and assess the health of these ecosystems is generally costly, personnel demanding and time-consuming. READ MORE