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   Articles with "hyperspectral target" as a keyword



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Siamese hyperspectral target detection using synthetic training data

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recommendations! Published in 2020 at "Electronics Letters"

DOI: 10.1049/el.2020.1758

Abstract: This Letter presents a method for training convolutional neural networks (CNNs) that detect targets of interest in hyperspectral images. Collecting suitable and abundant training data has been the main obstacle to the successful application of… read more here.

Keywords: training data; synthetic training; using synthetic; target detection ... See more keywords

Deep Constrained Energy Minimization for Hyperspectral Target Detection

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3205211

Abstract: Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images. However, a variety of factors, including inherent spectral variability and noise, make it difficult for… read more here.

Keywords: hyperspectral target; target detection; energy minimization; constrained energy ... See more keywords

Tensor Adaptive Reconstruction Cascaded With Global and Local Feature Fusion for Hyperspectral Target Detection

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3486774

Abstract: Hyperspectral target detection technology is becoming more and more important in remote sensing. Most of the traditional methods of target sensing using spectral information treat hyperspectral image as 2-D matrix regardless of the structure information… read more here.

Keywords: detection; target detection; global local; reconstruction ... See more keywords

Comments on “Hierarchical Suppression Method for Hyperspectral Target Detection”

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3210128

Abstract: The hierarchical constrained energy minimization (hCEM) algorithm, published in TGRS, has received more attentions in the field of hyperspectral target detection since publication. Using the classical CEM detector as the basic unit, it designs hierarchical… read more here.

Keywords: hyperspectral target; hierarchical suppression; target detection; comments hierarchical ... See more keywords

Robust Signature-Based Hyperspectral Target Detection Using Dual Networks

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3237746

Abstract: The training of deep networks for hyperspectral target detection (HTD) is usually confronted with the problem of limited samples and in extreme cases, there might be only one target sample available. To address this challenge,… read more here.

Keywords: hyperspectral target; dual networks; robust signature; target detection ... See more keywords

An Attention-Based Multiscale Spectral–Spatial Network for Hyperspectral Target Detection

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3265938

Abstract: Deep-learning-based methods have made great progress in hyperspectral target detection (HTD). Unfortunately, the insufficient utilization of spatial information in most methods leaves deep-learning-based methods to confront ineffectiveness. To ameliorate this issue, an attention-based multiscale spectral–spatial… read more here.

Keywords: hyperspectral target; network; spectral spatial; multiscale spectral ... See more keywords

A Semantic Transferred Priori for Hyperspectral Target Detection With Spatial–Spectral Association

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3261302

Abstract: Hyperspectral target detection is a crucial application that encompasses military, environmental, and civil needs. Target detection algorithms that have prior knowledge often assume a fixed laboratory target spectrum, which can differ significantly from the test… read more here.

Keywords: hyperspectral target; target spectrum; target detection; detection ... See more keywords

Cloud-Edge Selective Background Energy Constrained Filter for Real-Time Hyperspectral Target Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3425428

Abstract: Constrained by the performance of edge devices and real time (RT) processing technology, the existing hyperspectral target detection algorithms often struggle to rapidly distinguish targets from complex background pixels during real-time detection. To address this… read more here.

Keywords: detection; real time; edge; hyperspectral target ... See more keywords

CS-TTD: Triplet Transformer for Compressive Hyperspectral Target Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3436084

Abstract: Detecting targets in hyperspectral image under compressive sensing (CS) is crucial for real-time applications in front ends. However, applying the existing deep learning (DL) methods directly to compressed hyperspectral image has been challenging, including the… read more here.

Keywords: triplet transformer; triplet; hyperspectral target; target detection ... See more keywords

A Signature-Constrained Two-Stage Framework for Hyperspectral Target Detection Based on Generative Self-Supervised Learning

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3564039

Abstract: Recently, the hyperspectral target detection (HTD) technique based on deep learning (DL) has been developed rapidly. However, existing algorithms show poor generalization across different hyperspectral images (HSIs), where repeated training and inference based on limited… read more here.

Keywords: target detection; stage; htd; signature ... See more keywords

Multiscale Lightweight Transformer Network With Adaptive Contrastive Learning for Hyperspectral Target Detection

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3623624

Abstract: Hyperspectral target detection (HTD) faces significant challenges due to the scarcity of labeled samples and the redundancy in spectral information. To address these challenges, this article proposes a multiscale lightweight Transformer-based detector (MSLTD) specifically designed… read more here.

Keywords: detection; multiscale lightweight; target detection; transformer ... See more keywords