Essays about: "maximum likelihood classification"

Showing result 1 - 5 of 28 essays containing the words maximum likelihood classification.

  1. 1. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shuo Yang; [2019]
    Keywords : Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Abstract : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. READ MORE

  2. 2. UAV based hyperspectral grassland monitoring in an alpine shallow erosion area : lessons learnt from classifying vegetation indicating shallow erosion risk

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : John Peitz; [2019]
    Keywords : Physical Geography; Ecosystem Analysis; Shallow Erosion; Blaiken; UAV; Hyperspectral Imaging; Alps; Grassland; Spectral Signatures; Geomatics; Earth and Environmental Sciences;

    Abstract : UAV based hyperspectral grassland monitoring in an alpine shallow erosion area Recent research in the Alps found that a reduction in grassland management is correlated to an increase in a certain type of shallow erosion areas called blaiken. This change also entails changes to the dominant grassland vegetation. READ MORE

  3. 3. Deep Learning for Error Prediction In MIMO-OFDM system With Maximum Likelihood Detector

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

    Author : Baoqing She; [2018]
    Keywords : MIMO-OFDM; CRC; BLER; Detector; SINR; MCS Selection; Link Adaptation; Deep Learning; Neural Networks;

    Abstract : To increase link throughput in multi-input multi-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems, transmission parameters such as code rate andmodulation order are required to be set adaptively. Therefore, block error rate (BLER)becomes a crucial measure which illustrates the quality of the link, thus being used in LinkAdaptation (LA) to determine the transmission parameters. READ MORE

  4. 4. Tracing mangrove forest dynamics of Bangladesh using historical Landsat data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Md Monirul Islam; [2017]
    Keywords : Bangladesh; Physical Geography and Ecosystem Analysis; Landsat; mangroves; change detection; time-series; NDVI; supervised classification; Earth and Environmental Sciences;

    Abstract : Present, accurate, and reliable estimation of mangrove forests in Bangladesh is limited. Former estimation of mangroves extent and density has been more or less restricted to Sundarbans and do not represent the whole country. READ MORE

  5. 5. Conditional Noise-Contrastive Estimation : With Application to Natural Image Statistics

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Ciwan Ceylan; [2017]
    Keywords : noise-contrastive estimation; NCE; unnormalised models; statistical estimation; natural image statistics; unsupervised learning; neural network;

    Abstract : Unnormalised parametric models are an important class of probabilistic models which are difficult to estimate. The models are important since they occur in many different areas of application, e.g. in modelling of natural images, natural language and associative memory. READ MORE