Sökning: "Machine Learning and Satellite Image Recognition."

Hittade 3 uppsatser innehållade orden Machine Learning and Satellite Image Recognition..

  1. 1. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :TARUN NATTALA; [2023]
    Nyckelord :CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

    Sammanfattning : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. LÄS MER

  3. 2. A Scalable Approach for Detecting Dumpsites using Automatic Target Recognition with Feature Selection and SVM through Satellite Imagery

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Markus Skogsmo; [2020]
    Nyckelord :satellite imagery; earth observation; remote sensing; sentinel-2; Copernicus; ESA; global watch center; sentinelhub; support vector machine; big data analysis; big data visualization; detection; classification; automatic target recognition; machine learning; one-class classifier;

    Sammanfattning : Throughout the world, there is a great demand to map out the increasing environmental changes and life habitats on Earth. The vast majority of Earth Observations today, are collected using satellites. LÄS MER

  4. 3. Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing

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

    Författare :Ali Al Farid; [2020]
    Nyckelord :Geography; Geographical Information Systems; Hydrocarbon Microseepage; PCA; Crosta; Band Ratio; MTMF; Weight of Evidence; SVM; Methane Fluxes; Remote Sensing; Satellite Image Classification; Earth Observation; Mineral Classifications; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Methane is a potent greenhouse gas that plays a major role in climate change. Significant uncertainty exists in the estimates of emissions from natural methane sources. This uncertainty in data is one of the primary scientific challenges in climate model. LÄS MER