PROJECT TITLE :

Learning High-level Features for Satellite Image Classification With Limited Labeled Samples

ABSTRACT:

This paper presents a novel technique addressing the classification task of satellite pictures when limited labeled information is offered together with a massive quantity of unlabeled knowledge. Rather than using semi-supervised classifiers, we solve the problem by learning a high-level features, referred to as semisupervised ensemble projection (SSEP). Additional precisely, we propose to represent a picture by projecting it onto an ensemble of weak coaching (WT) sets sampled from a Gaussian approximation of multiple feature spaces. Given a set of pictures with restricted labeled ones, we have a tendency to first extract preliminary features, e.g., color and textures, to create a coffee-level image description. We then propose a brand new semisupervised sampling algorithm to create an ensemble of informative WT sets by exploiting these feature spaces with a Gaussian normal affinity, that ensures both the reliability and diversity of the ensemble. Discriminative functions are subsequently learned from the ensuing WT sets, and every image is represented by concatenating its projected values onto such WT sets for final classification. Moreover, we think about that the potential redundant info existed in SSEP and use sparse coding to scale back it. Experiments on high-resolution remote sensing information demonstrate the efficiency of the proposed methodology.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


MTechProjects.com offering final year Python Based Machine Learning MTech Projects, Machine Learning IEEE Projects, IEEE Machine Learning Projects, Machine Learning MS Projects, Python Based Machine Learning BTech Projects, Machine
PROJECT TITLE :A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs - 2018ABSTRACT:Accurately predicting students' future performance based on their ongoing academic records is crucial
PROJECT TITLE :Optimal Bayesian Transfer Learning - 2018ABSTRACT:Transfer learning has recently attracted important research attention, because it simultaneously learns from different supply domains, that have plenty of labeled
PROJECT TITLE :Learning Graphs With Monotone Topology Properties and Multiple Connected Components - 2018ABSTRACT:Recent papers have formulated the problem of learning graphs from information as an inverse covariance estimation
PROJECT TITLE :Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning - 2018ABSTRACT:We tend to consider the matter of recovering block sparse signals with unknown block

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry