Siamese hyperspectral target detection using synthetic training data
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Comments on “Hierarchical Suppression Method for Hyperspectral Target Detection”
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2740621
Abstract: Hyperspectral images (HSIs) possess non-negative properties for both hyperspectral signatures and abundance coefficients, which can be naturally modeled using cone-based representation. However, in hyperspectral target detection, cone-based methods are barely studied. In this paper, we… read more here.
Keywords: detection; mscd; target detection; hyperspectral target ... See more keywords