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Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection

Samiran Das, Sawon Pratiher, Chirag Kyal, Pedram Ghamisi
<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
The work introduces a novel, robust sparsity measure to obtain a powerful self-representation and ameliorated performance compared to the prevalent subspace clustering methods.  ...  Hyperspectral images provide rich spectral information corresponding to visible and near-infrared imaging regions, facilitating accurate classification, object identification, and target detection.  ...  To this aim, this article envisaged a deep manifold-aware clustering strategy and subsequent multicriteria-based selection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2022.3172112">doi:10.1109/jstars.2022.3172112</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sdrvf2r5ind23p2iruylfmgccy">fatcat:sdrvf2r5ind23p2iruylfmgccy</a> </span>
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Guest Editorial Computational Imaging for Earth Sciences

Shuchin Aeron, Eric L. Miller, Melba Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qwupf4tqybcbpesmxen2dy6wyi" style="color: black;">IEEE Transactions on Computational Imaging</a> </i> &nbsp;
The editors would like to thank the reviewers who provided timely reviews and constructive suggestions for the papers. The editors appreciate the efforts of the IEEE publications co-ordinator A.  ...  Fisher greatly for her patience and diligence in enabling proper and timely handling of the manuscripts.  ...  The proposed method is robust, computationally efficient and mitigates a cumbersome regularization parameter selection in deterministic sparsity-aware methods and reduces the human intervention.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tci.2017.2694978">doi:10.1109/tci.2017.2694978</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7jfk5xhrlner3forntsrzixeti">fatcat:7jfk5xhrlner3forntsrzixeti</a> </span>
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Table of contents

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
Jiao 2430 Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification .............................. ...........................................................................  ...  Chanussot 2487 Optical Data A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images ..........................................  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2021.3052119">doi:10.1109/tgrs.2021.3052119</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obk5h6sp2nh47ounq4jqlhukcu">fatcat:obk5h6sp2nh47ounq4jqlhukcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428101203/https://ieeexplore.ieee.org/ielx7/36/9363036/09363098.pdf?tp=&amp;arnumber=9363098&amp;isnumber=9363036&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/79/7c794b4d22494f1777339d176acfc0cf9155b677.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2021.3052119"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Hyperspectral Anomaly Detection Based on Separability-Aware Sample Cascade

Dandan Ma, Yuan Yuan, Qi Wang
<span title="2019-10-29">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
First, as spatial structure is beneficial for recognizing target, a new spectral–spatial feature extraction technique is used in this work based on the PCA technique and edge-preserving filtering.  ...  To address this problem, this paper proposes a novel hyperspectral anomaly detection method based on separability-aware sample cascade model.  ...  Author Contributions: All authors contributed to proposing the method, carrying out the experiments and analyzing the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11212537">doi:10.3390/rs11212537</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pow6ajpusfckjl3g4lj2uwekty">fatcat:pow6ajpusfckjl3g4lj2uwekty</a> </span>
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An Interband Registration Method for Hyperspectral Images Based on Adaptive Iterative Clustering

Shiyong Wu, Ruofei Zhong, Qingyang Li, Ke Qiao, Qing Zhu
<span title="2021-04-13">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
This paper proposes a robust and efficient registration algorithm based on iterative clustering for interband registration of hyperspectral images.  ...  In the context of the problem of image blur and nonlinear reflectance difference between bands in the registration of hyperspectral images, the conventional method has a large registration error and is  ...  Zhuhai, Guangdong Province for its data support. Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2021, 13, 1491  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13081491">doi:10.3390/rs13081491</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tjzqueupenc6rbkwyi2bkfbxau">fatcat:tjzqueupenc6rbkwyi2bkfbxau</a> </span>
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Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks

Rongxin Tang, Hualin Liu, Jingbo Wei
<span title="2020-11-24">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The visualization of near infrared hyperspectral images is valuable for quick view and information survey, whereas methods using band selection or dimension reduction fail to produce good colors as reasonable  ...  The experimental results show that the proposed method performs better in producing naturally looking details and colors for near infrared hyperspectral images.  ...  [5] proposed a dual clustering method including the contextual information in the clustering process, a new descriptor revealing the image context, and a strategy in selecting the cluster representatives  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12233848">doi:10.3390/rs12233848</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hslkgfe3zjfv5iwt6a2yfhv5q4">fatcat:hslkgfe3zjfv5iwt6a2yfhv5q4</a> </span>
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2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS Oct. 2019 7995-8010 Hu, T., see Kang, Z., TGRS Jan. 2019 181-193 Hu, T.,  ...  ., +, TGRS June 2019 3148-3165 A New Method to Enhance the Spatial Features of Multitemporal NDVI Image Series.  ...  Hu, C., +, TGRS Aug. 2019 6212-6225 Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2020.2967201">doi:10.1109/tgrs.2020.2967201</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kpfxoidv5bgcfo36zfsnxe4aj4">fatcat:kpfxoidv5bgcfo36zfsnxe4aj4</a> </span>
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The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials

Pedram Ghamisi, Kasra Rafiezadeh Shahi, Puhong Duan, Behnood Rasti, Sandra Lorenz, Rene Booysen, Samuel Thiele, Isabel Cecilia Contreras Acosta, Moritz Kirsch, Richard Gloaguen
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
In this review, we assess the relevant recent developments of Machine Learning for the processing of imaging sensor data.  ...  We also provide a list of available resources, codes, and libraries for researchers at different levels, from students to senior researchers, willing to explore novel methodologies on the challenging topics  ...  This raised the need for a new approach of hyperspectral data acquisition at small angles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2021.3108049">doi:10.1109/jstars.2021.3108049</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dopyzl427rhmbi7nejpug7ahfq">fatcat:dopyzl427rhmbi7nejpug7ahfq</a> </span>
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Adversarial Networks for Scale Feature-Attention Spectral Image Reconstruction from a Single RGB

Pengfei Liu, Huaici Zhao
<span title="2020-04-24">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
We establish the feature pyramid inside the network and use the attention mechanism for feature selection.  ...  Hyperspectral images reconstruction focuses on recovering the spectral information from a single RGBimage.  ...  This global pooling method provides global context as a guidance for feature pyramid to select scale attention.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20082426">doi:10.3390/s20082426</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32344686">pmid:32344686</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7219499/">pmcid:PMC7219499</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h4gcdz6zsjbo3bzbbj7f75ifma">fatcat:h4gcdz6zsjbo3bzbbj7f75ifma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200504104933/https://res.mdpi.com/d_attachment/sensors/sensors-20-02426/article_deploy/sensors-20-02426-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/2d/b42d7fdf295083457097d9cf53bef0b93f671320.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20082426"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219499" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
., +, TGRS June 2015 3373-3388 A New Fast Algorithm for Linearly Unmixing Hyperspectral Images. Guerra, R., +, TGRS Dec. 2015 6752-6765 A Novel Feature Selection Approach Based on FODPSO and SVM.  ...  ., +, TGRS Jan. 2015 280-295 Hyperspectral Band Selection by Multitask Sparsity Pursuit.  ...  Radiofrequency interference A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations.  ... 
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2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
., +, JSTARS 2020 113-128 Feature selection A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed.  ...  ., +, JSTARS 2020 1234-1247 A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
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2020 Index IEEE Transactions on Image Processing Vol. 29

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
Wang, Y., +, Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A Tensor-Based Bayesian Method.  ...  ., +, TIP 2020 6496-6506 OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2020.3046056">doi:10.1109/tip.2020.3046056</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/24m6k2elprf2nfmucbjzhvzk3m">fatcat:24m6k2elprf2nfmucbjzhvzk3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201224144031/https://ieeexplore.ieee.org/ielx7/83/8835130/09301460.pdf?tp=&amp;arnumber=9301460&amp;isnumber=8835130&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/93/5693eebc307c33915511489f6dcddcb127981534.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2020.3046056"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Self-Expressive Decompositions for Matrix Approximation and Clustering [article]

Eva L. Dyer, Tom A. Goldstein, Raajen Patel, Konrad P. Kording, and Richard G. Baraniuk
<span title="2015-05-04">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Data-aware methods for dimensionality reduction and matrix decomposition aim to find low-dimensional structure in a collection of data.  ...  SEED is a greedy method that constructs a basis by sequentially selecting incoherent vectors from the dataset.  ...  ELD was also funded by NSF GRFP 0940902 and a Texas Instruments Distinguished Graduate Fellowship.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.00824v1">arXiv:1505.00824v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zrbn5q2a7rcq3ozafiynugneyy">fatcat:zrbn5q2a7rcq3ozafiynugneyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191025025748/https://arxiv.org/pdf/1505.00824v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/74/05/7405ed035d1a4b9787b78e5566340a98fe4b63a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.00824v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms

Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
In particular, we propose a new penalty which simultaneously enforces group and within group sparsity, to the cost of being nonconvex.  ...  Hyperspectral images provide much more information than conventional imaging techniques, allowing a precise identification of the materials in the observed scene, but because of the limited spatial resolution  ...  We provided a new geometric interpretation of unmixing hyperspectral data within this paradigm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2019.2897254">doi:10.1109/tip.2019.2897254</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x4nijvefefafncznziymob3epe">fatcat:x4nijvefefafncznziymob3epe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200313122708/https://escholarship.org/content/qt4b86v38m/qt4b86v38m.pdf?t=pbaa1w" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/1d/c11dd563cf7e0842f1846abaf43133a6f17ea9f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2019.2897254"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Spatial-Aware Dictionary Learning for Hyperspectral Image Classification [article]

Ali Soltani-Farani, Hamid R. Rabiee, Seyyed Abbas Hosseini
<span title="2013-08-06">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Experimental results on a number of real hyperspectral images confirm the effectiveness of the proposed representation for hyperspectral image classification.  ...  This paper presents a structured dictionary-based model for hyperspectral data that incorporates both spectral and contextual characteristics of a spectral sample, with the goal of hyperspectral image  ...  Paolo Gamba for kindly providing the ROSIS images of University of Pavia and Center of Pavia and Prof. Landgrebe for the AVIRIS data. Finally, we would also like to thank Dr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1308.1187v1">arXiv:1308.1187v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4jnynr5e5fhm7dzi6qwy7mna6m">fatcat:4jnynr5e5fhm7dzi6qwy7mna6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830080832/https://arxiv.org/pdf/1308.1187v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/b8/3cb8809a576030f9a98d4bae6aaef57611ca90ba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1308.1187v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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