Essays about: "multispektral"

Showing result 1 - 5 of 8 essays containing the word multispektral.

  1. 1. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shengyao Shangguan; [2023]
    Keywords : Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

    Abstract : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. READ MORE

  3. 2. Development of a Level-0 Geoprocessing Platform for a Multispectral Remote Sensing Payload

    University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Author : Sergio Santiago Bernabeu Peñalba; [2022]
    Keywords : Infrared imagery; VIS; NIR; LWIR; geoprocessor; geolocation; quaternions; Aistech Space; image processing; ORB; RANSAC; Sentinel; Landsat; Infraröda bilder; VIS; NIR; LWIR; geoprocessor; geolokalisering; kvarternioner; Aistech Space; bildbehandling; ORB; RANSAC; Sentinel; Landsat;

    Abstract : 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

  4. 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)

    Author : Nakita Sunil Oza; [2022]
    Keywords : Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    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

  5. 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 geovetenskaper

    Author : Ethan Barnes; [2020]
    Keywords : mineral exploration; UAV; multispectral sensors; Illukunnguaq dyke; Greenland;

    Abstract : 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

  6. 5. Direct multispectral photogrammetry for UAV-based snow depth measurements

    University essay from KTH/Geoinformatik

    Author : Kathrin Maier; [2019]
    Keywords : Unmanned Aerial Vehicles UAV ; snow depth; direct photogrammetry; multispectral imagery; cryosphere;

    Abstract : Due to the changing climate and inherent atypically occurring meteorological events in the Arctic regions, more accurate snow quality predictions are needed in order to support the Sámi reindeer herding communities in northern Sweden that struggle to adapt to the rapidly changing Arctic climate. Spatial snow depth distribution is a crucial parameter not only to assess snow quality but also for multiple environmental research and social land use purposes. READ MORE