IEEE

Unsupervised Domain Adaptation for Hyperspectral Image Classification via Masked Robustness Learning and Class Structure Regularization

Abstract: Unsupervised domain adaptation has become an important approach to address spectral drift in cross-scene hyperspectral image (HSI) classification. However, existing methods suffer from two ...
EurekAlert!

Unsupervised cross-domain adaptation: single-pixel image transmission in unknown dynamic channels

Imaging technologies are ubiquitous in our daily lives, from smartphone cameras to medical imaging devices, helping us capture images and perceive objects. However, when faced with complex ...
IEEE

Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Image Classification

Abstract: Subspace clustering (SSC) contributes a lot to the development of unsupervised hyperspectral image (HSI) classification task due to its ability of processing high-dimensional data. In ...
Frontiers

Training marine species object detectors with synthetic images and unsupervised domain adaptation

Visual surveys by autonomous underwater vehicles (AUVs) and other underwater platforms provide a valuable method for analysing and understanding the benthic environment. Scientists can measure the ...
Scientific Research Publishing

Richards, J.A. (2022) Clustering and Unsupervised Classification. In: Richards, J.A., Ed., Remote Sensing Digital Image Analysis, Springer International Publishing, 369-401.

ABSTRACT: In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The ...