Essays about: "maximum likelihood classification"

Showing result 11 - 15 of 34 essays containing the words maximum likelihood classification.

  1. 11. 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

  3. 12. Modeling state of waste water system in Dakar, Senegal

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jacob Schennings; Rasmus Pettersson; [2016]
    Keywords : ;

    Abstract : This report contains a method to mathematically determine the condition of pipes in a sewer system in Dakar, Senegal. First a survival analysis model is established based on probability density functions. The functions are then fitted to a data set consisting of the age of the sewer pipes and their inspected status. READ MORE

  4. 13. Urban Vegetation Mapping Using Remote Sensing Techniques : A Comparison of Methods

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : Fredrik Palm; [2015]
    Keywords : Vegetation Mapping; Window Independent Contextual Segmentation WICS ; Supervised Classification; Object Based Image Analysis;

    Abstract : The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of an urban environment. The methods used was (1) a traditional per-pixel based method; maximum likelihood supervised classification (ENVI), (2) a standard object based method; example based feature extraction (ENVI) and (3) a newly developed method; Window Independent Contextual Segmentation (WICS) (Choros Cognition). READ MORE

  5. 14. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Linnea Jonsson; [2015]
    Keywords : support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

    Abstract : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. READ MORE

  6. 15. Urban classification by pixel and object-based approaches for very high resolution imagery

    University essay from Högskolan i Gävle/Samhällsbyggnad, GIS

    Author : Fadi Ali; [2015]
    Keywords : Ancillary data; land use land cover classification; supervised algorithms; GIS; Remote sensing; OBIA;

    Abstract : Recently, there is a tremendous amount of high resolution imagery that wasn’t available years ago, mainly because of the advancement of the technology in capturing such images. Most of the very high resolution (VHR) imagery comes in three bands only the red, green and blue (RGB), whereas, the importance of using such imagery in remote sensing studies has been only considered lately, despite that, there are no enough studies examining the usefulness of these imagery in urban applications. READ MORE