Sökning: "multispectral images"

Visar resultat 1 - 5 av 38 uppsatser innehållade orden multispectral images.

  1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : 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. LÄS MER

  3. 2. Correlation between Normalized Difference Vegetation Index (NDVI) and in vitro organic matter digestibility (IVOMD) of reindeer pasture plants : Korrelation mellan Normalized Difference Vegetation Index (NDVI) och smältbarhet av renbetesväxter i vomvätska in vitro (VOS)

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Jannica Helmersson; [2023]
    Nyckelord :Normalized Difference Vegetation Index; NDVI; in vitro organic matter digestibility; IVOMD; VOS; caribou; Rangifer tarandus; reindeer pasture plants; drone;

    Sammanfattning : Renen livnär sig på många olika betesväxter och den följer växtfenologins utveckling under barmarkssäsongen, vilket resulterar i högkvalitativt foderintag. Levande växtbiomassa kan uppskattas på landskapsnivå genom att använda vegetationsindex som värderar vegetation utifrån spektrala mätningar. LÄS MER

  4. 3. 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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shengyao Shangguan; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  5. 4. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Oskar Aidantausta; Patrick Asman; [2023]
    Nyckelord :data fusion; deep learning; land use land cover classification; multiclass; multimodal; remote sensing; semantic segmentation; Sentinel satellite; spectral index; U-Net; Urban Atlas;

    Sammanfattning : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. LÄS MER

  7. 5. Predicting Health and Living Standards of India using Deep Learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Sarath Mookola Raveendran; [2022-10-14]
    Nyckelord :IWI index; Deep CNN; poverty; ResNet-18; Deep Learning; multispectral images; nightlight images; India; health and living standards;

    Sammanfattning : Poverty eradication is an inexorable process in human growth [21], with poverty estimation being the first and most important stage. Identifying strategies for poverty reduction programs and distributing resources appropriately requires determining the poverty levels of distinct places throughout the world. LÄS MER