WebTitle of the bachelor’s thesis: Image Classification Using Convolutional Neural Networks Supervisor: Jukka Jauhiainen Term and year of completion: Spring 2024 Number of pages: 31 The objective of this thesis was to study the application of deep learning in image classification using convolutional neural networks. Webtors of choice for scene classification. In fact, the imple-mentation of a holistic scene classifier with a CNN is al-most trivial. It suffices to train the CNN on whole scene …

Land Use and Land Cover Classification Using Deep Learning Techniques

WebDec 17, 2024 · Remote sensing image scene classification has attracted great attention because of its wide applications. Although convolutional neural network (CNN)-based … WebThis thesis shows that Probabilistic Latent Semantic Analysis (PLSA) generates a compact scene representation, discriminative for accurate classification, and more robust than the bagof-visterms representation when less labeled training data is available, and shows the ability of PLSA to automatically extract visually meaningful scene patterns, making such … cross island oak dining table sets

(PDF) Deep Learning for Feature Extraction in Remote Sensing: A …

Webtors of choice for scene classification. In fact, the imple-mentation of a holistic scene classifier with a CNN is al-most trivial. It suffices to train the CNN on whole scene images. The main challenges are the assembly of a large dataset of such images and the standard difficulties of train-ing a deep network. These problems have been ... WebThis paper introduces a new local feature description method to categorize scene images. We encode local image information by exploring the pseudo-Wigner distribution of images and the Local Binary Patterns (LBP) technique and make four major contributions. In particular, we first define a multi-neighborhood LBP for small image blocks. Second, we … WebFeb 26, 2024 · In recent years, image scene classification based on low/high-level features has been considered as one of the most important and challenging problems faced in image processing research. The high-level features based on semantic concepts present a more accurate and closer model to the human perception of the image scene content. This … buick gs california