Hyperspectral Image Segmentation

5 papers with code • 0 benchmarks • 1 datasets

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Datasets


Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification

lms-07/AMS-M2ESL IEEE Transactions on Geoscience and Remote Sensing 2023

Subsequently, based on distance covariance descriptor, a dual channel distance covariance representation (DC-DCR) module is proposed for modeling unified spectral-spatial feature representations and exploring spectral-spatial relationships, especially linear and nonlinear interdependence in spectral domain.

16
07 Apr 2023

Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)

luiscarlosgph/segodsidb 14 Mar 2023

Visual discrimination of clinical tissue types remains challenging, with traditional RGB imaging providing limited contrast for such tasks.

2
14 Mar 2023

Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification

lms-07/CVSSN IEEE Transactions on Circuits and Systems for Video Technology 2022

Specifically, based on two similarity measures, we firstly design an adaptive weight addition based spectral vector self-similarity module (AWA-SVSS) in input space and a Euclidean distance based feature vector self-similarity module (ED-FVSS) in feature space to fully mine the central vector oriented spatial relationships.

24
31 Oct 2022

A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation

berkels/msiplib 28 Mar 2022

We equipped the MS functional with a novel robust distribution-dependent indicator function designed to handle the characteristic challenges of hyperspectral data.

0
28 Mar 2022

Validating Hyperspectral Image Segmentation

Oscared/thesis 8 Nov 2018

Hyperspectral satellite imaging attracts enormous research attention in the remote sensing community, hence automated approaches for precise segmentation of such imagery are being rapidly developed.

4
08 Nov 2018