Work

Collaborative Representation-Based Attention Network for Hyperspectral Anomaly Detection

Year: 2025

Type: article

Abstract: The Collaborative Representation-based Detector (CRD) performs anomaly detection for hyperspectral data using a linear representation of local neighbors for background estimation, which may not fully capture the informational content and spectral variability in complex hyperspectral images with heterogenous background. To deal with this aspect, the Collaborative Representation-based Attention Network (CRAN) is introduced in this letter, providing a nonlinear representation of data samples for background estimation. Both local neighbors and global samples are used in parallel, and their outputs are fused through a cross-attention mechanism. Experimental results show a good performance of CRAN in comparison with several state-of-the-art anomaly detectors.

Source: IEEE Geoscience and Remote Sensing Letters

DOI: 10.1109/lgrs.2025.3588163

Authors: Maryam Imani, Daniele Cerra

Institutions: Tarbiat Modares University, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4412352812

FWCI: 0.438

Cites: 27

Cited by: 1

Related to: 10