Articles Tagged superpixel Subscribe to RSS Feed

Possibilistic Fuzzy Local Information C-Means for Sonar Image Segmentation

Published: Oct 4th, 2017

Abstract: Side-look synthetic aperture sonar (SAS) can produce very high quality images of the sea-floor. When viewing this imagery, a human observer can often easily identify various sea-floor textures such […]

Multiple-instance learning-based sonar image classification

Published: Mar 17th, 2017

Abstract: An approach to image labeling by seabed context based on multiple-instance learning via embedded instance selection (MILES) is presented. Sonar images are first segmented into superpixels with associated intensity […]

Environmentally-Adaptive Target Recognition for SAS Imagery

Published: Mar 17th, 2017

Abstract: Characteristics of underwater targets displayed in synthetic aperture sonar (SAS) imagery vary depending on their environmental context. Discriminative features in sea grass may differ from the features that are […]

Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation

Published: Mar 17th, 2017

Abstract: A semi-supervised Partial Membership Latent Dirichlet Allocation approach is developed for hyperspectral unmixing and endmember estimation while accounting for spectral variability and spatial information. Partial Membership Latent Dirichlet Allocation […]

Map-guided Hyperspectral Image Superpixel Segmentation Using Proportion Maps

Published: Jan 10th, 2017

Abstract: A map-guided superpixel segmentation method for hyperspectral imagery is developed and introduced. The proposed approach develops a hyperspectral-appropriate version of the SLIC superpixel segmentation algorithm, leverages map information to […]

Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation

Published: Dec 28th, 2016

Abstract: Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image patch) […]

Map-guided Hyperspectral Image Superpixel Segmentation Using Semi-supervised Partial Membership Latent Dirichlet Allocation

Published: Dec 20th, 2016

Abstract: Many superpixel segmentation algorithms which are suitable for the regular color images like images with three channels: red, green and blue (RGB images) have been developed in the literature. […]

Semi-supervised Interactive Unmixing for Hyperspectral Image Analysis

Published: Dec 20th, 2016

Abstract: In the past several decades, hyperspectral imaging has drawn a lot of attention in the eld of remote sensing. Yet, due to low spatial resolutions of hyperspectral imagers, often […]

Hyperspectral Unmixing with Endmember Variability Using Partial Membership Latent Dirichlet Allocation

Published: Sep 13th, 2016

Abstract: The application of Partial Membership Latent Dirichlet Allocation (PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts […]

Possibilistic context identification for SAS imagery

Published: May 11th, 2015

Abstract: This paper proposes a possibilistic context identification approach for synthetic aperture sonar (SAS) imagery. SAS seabed imagery can display a variety of textures that can be used to identify […]