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ORCID13th WHISPERS 2023: Athens, Greece
- 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2023, Athens, Greece, October 31 - November 2, 2023. IEEE 2023, ISBN 979-8-3503-9557-0
- Jobin Francis
, Binu Melit Devassy, Sudhish N. George, Sony George:
Quantitative Assessment of Hayward Kiwi Soluble Solids Content Prediction Using Hyperspectral Imaging. 1-5 - Chanki Park, Seungyoon Nam, John Lorenzo Bautista, Hyunsoon Shin:
Fast Zero-phase Line Enhancer for Quasi-periodic Signal Processing. 1-4 - Jue Zhang, Jiankun Hu, Xiuping Jia:
Learning Discriminative Features with Attention Based Dual-Stream Decoder for Weakly Supervised Solar Panel Mapping. 1-5 - Marina Ranghetti, Mirco Boschetti, Francesco Nutini, Micol Rossini, Gabriele Candiani:
Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis. 1-5 - Minghua Wang, Bing Zhang, Jiaxin Li, Longfei Ren, Jocelyn Chanussot:
A Feature Fusion-Based Transformer Network for Hyperspectral Super-Resolution. 1-5 - R. Aruna Flarence, Bogolu Rupa, Atul Negi:
Hyper Spectral Image Classification Using Spectral and Spatial Dimension Reduction. 1-5 - Karan Owalekar, Shailesh Deshpande, Arpan Pal:
Triplet-Loss Driven Optimization for Improved Methane Leak Detection. 1-5 - Hanghui Ye, Lin He:
Asymmetric-Scale Arbitrary Resolution Pansharpening CNN for Hyperspectral Images. 1-4 - Mamta Chauhan, Giorgio A. Licciardi, Patrizia Sacco, Deodato Tapete:
Prisma Based Study of Nidar Ophiolites as Martian Analogues for Serpentinization. 1-3 - Huilin Zhao, Chuan Chen, Cong Xia:
Multimodal Remote Sensing Network. 1-4 - Jade Preston, William Basener:
Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout. 1-6 - Xiao Li, Hengyou Wang, Lian-Zhi Huo:
ICSS: Semantic Segmentation of Remote Sensing Images Based on Image Inpainting and Contrast Self-Supervised. 1-4 - Yuheng Jin, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function. 1-5 - Jiming Tang, Wenxing Bao, Bingbing Lei, Kewen Qu, Wei Feng:
Spatial-Spectral Weighted Sparse Multi-Layer Nonnegative Matrix Factorization for Hyperspectral Image Unmixing. 1-5 - Dipendra J. Mandal, Hilda Deborah, Sony George, Jon Yngve Hardeberg:
Unsupervised Clustering for Works of Art Using Hyperspectral Imaging: A Case Study on Edvard Munch's Self-Portrait (1905). 1-5 - Daniel Staps, Marika Kaden, Jan Auth, Florian Zaussinger, Thomas Villmann:
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder. 1-5 - Longfei Ren, Minghua Wang, Xu Sun, Lianru Gao, Min Huang:
Hyperspectral Anomaly Detection Via Nonconvex Low-Rank Representation. 1-5 - Ulrike Pestel-Schiller, Paul-Robert Meinicke, Jörn Ostermann, Johannes Busch:
Gain Adapted Quantization in HEVC Coding Applied to Drone Remote Sensing. 1-5 - Behnood Rasti:
FaSUn: Fast Semi-Supervised Unmixing Using Alternating Direction Method of Multipliers. 1-5 - Çagatay Esi, Alp Ertürk, Moussa Sofiane Karoui:
Unmixing With Spectral Variability for Marine Mucilage Analysis. 1-5 - Alvaro Flores-Romero, Steven Le Moan, Joseph L. Garrett, Sivert Bakken:
Chlorophyll Estimation on Hypso-1 Using Ensemble Machine Learning. 1-5 - William Basener, Wesley Basener:
Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation. 1-6 - Maximilian Czech, Steven Le Moan, Jon Yngve Hardeberg:
A New Dual-Scale Hyperspectral Dataset. 1-5 - Aby K. Mathai, Alex Mathew, Gnanappazham Lakshmanan, K. Arun Prasad:
Bhitarkanika Mangrove Species Change Detection Using Hyperspectral Remote Sensing and Field Survey. 1-5 - Shalom Hai Kobi, Mor David, Isaac August, Dima Bykhovsky:
Hyperspectral Image Prediction Using a Linear Model in Different Illumination Conditions. 1-4 - J. Chen, Jun Li, Paolo Gamba:
A Multi-Tasks Autoencoder Hyperspectral Unmixing Model With Information Gain Based On Graph Network. 1-5 - Vittoria Bruni, Gianpiero Maiello, Giuseppina Monteverde, Alessandro Paglialunga, Domenico Vitulanoa:
A Wavelet-Based Band Selection Method for Hyperspectral Image Classification. 1-5 - Yunus Emre Koc, Cameron L. Penne, Joseph L. Garrett, Milica Orlandic:
Exploration of Deep Learning for Cloud Segmentation in Multispectral and Hyperspectral Satellite Imagery. 1-5 - Ronny Schubert, Lynn V. Reuss, Daniel Staps, Marika Kaden, Thomas Villmann, Robert Hasler, Robin Herz, Till Tiemann, Wolfram Richardt:
A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation. 1-5 - Koushikey Chhapariya, Emmett J. Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar:
A Spectral-Spatial Classification Network for Hyperspectral Images using a Residual Attention Network. 1-5 - Rafal Muszynski, Hiep Luong:
Helios: Hyperspectral Hindsight Ostracker. 1-5 - Jizhen Cai, Clotilde Boust, Alamin Mansouri:
An expert-Inspired Multimodal Methodology for Pigment Identification in Art Paintings. 1-5 - Halal Abdulrahman Ahmed, Fattah Alizadeh:
Indoor Sign Recognition System for Visually Impaired People. 1-6 - Yun Cheng, Yang-Jun Deng, Wei-Ye Wang, Chen-Feng Long, Xing-Hui Zhu:
Locality Preserved MLP-Mixer for Hyperspectral Image Classification. 1-5 - Salma Haidar, José Oramas:
A Contrastive Learning Method for Multi-Label Predictors on Hyperspectral Images. 1-5 - Samrat B, Nithish Reddy Banda, Akhil Galla, Arun P. V., Alok Porwal:
An adaptive deep denoising approach for Chandrayaan-2 IIRS Data with SURE Loss. 1-5 - Bing Qi, Xiaoyan Luo:
Spatial-Spectral Cross-Domain Attention Network for Unsupervised Hyperspectral Image Classification. 1-5 - Corrado Chiatante, Dennis D. Langer, Joseph L. Garrett, Roger Birkeland, Simen Berg, Milica Orlandic:
Onboard Hyperspectral Classification Enables Georeferencing. 1-5 - Xinru Jiang, Lei Sun, Peizeng Lin:
Local Sparsity Blocks and Tensor Low Rank Regularized Sparse Unmixing. 1-5 - Sidney Besnard, Frédéric Jurie, Jalal Fadili:
Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. 1-5 - Yunhao Gao, Wei Li, Mengmeng Zhang, Ran Tao:
Hyperspectral Classification Using Heterologous Feature Alignment and Fusion. 1-5 - Li-Hao Han, Geng-Ming Jiang:
FY-3E HIRAS-II Channel Selection for Temperature and Humidity Profile Retrieval using Principal Component Analysis and Weighting Functions. 1-6 - Yuchen Zha, Hongyi Liu:
Hyperspectral image super-resolution based on a Linear and Intimate Mixing Model. 1-4 - Amir Hosein Oveis, Elisa Giusti, Giulio Meucci, Selenia Ghio, Marco Martorella:
Explainability In Hyperspectral Image Classification: A Study of Xai Through the Shap Algorithm. 1-5 - C. V. S. S. Manohar Kumar, Rama Rao Nidamanuri, Vinay Kumar Dadhwal:
Sub-pixel Discrimination of Soil and Crop in Drone-based Hyperspectral Imagery. 1-4 - Leslie G. Garza, Konrad Wessels:
Harmful Algal Bloom (HAB) Detection Using Deep Convolutional Neural Networks and Remote Sensing Data. 1-11 - Veronica Grazia Morelli, Mirko Paolo Barbato, Flavio Piccoli, Paolo Napoletano:
Multimodal Fusion Methods with Vision Transformers for Remote Sensing Semantic Segmentation. 1-5 - Carolina Blanch Perez del Notario, Steven Thijs, Murali Jayapala:
Band Relevance Study of SWIR Hyperspectral Imaging for Material Recycling and Reuse. 1-5 - Simon A. Trim, Daniel Schläpfer:
Correction of Radiometric Steps at Dual-Sensor Imaging Spectrometer Detector Joints. 1-5 - Jiaxin Li, Ke Zheng, Li Ni, Lianru Gao:
A New Unsupervised Network for Hyperspectral and Multispectral Image Fusion. 1-5 - Anagha S. Sarma, Rama Rao Nidamanuri:
Active Learning-Enhanced Plant-Level Crop Mapping with Drone Hyperspectral Imaging and Evolutionary Computing. 1-5 - Nathaniel Hanson, Benjamin Pyatski, Samuel Hibbard, Charles DiMarzio, Taskin Padir:
Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments. 1-5 - Keshav D. Singh, Manoj Natarajan, Kamal Gill, Prabahar Ravichandran, Hongquan Wang, Charles M. Geddes:
Digital Imaging System for High-Throughput Plant Phenotyping Using Raspberry Pi Computers. 1-5 - Steven Le Moan:
Hyperspectral Band Clustering for Visualisation. 1-5 - Fan Zhang, Yuting Wan, Pei Liu:
A Dedicated Network for Hyperspectral Image Classification Based on Multi-Objective Evolutionary Search. 1-5 - Michael Alibani, Nicola Acito, Giovanni Corsini:
Sentinel-2 Image Generation via Stylegan3 Model. 1-5 - Kai Shi, Qichao Liu, Zhizhong Zheng, Liang Xiao:
Efficient Implementation for Composite CNN-Based HSI Classification Algorithm with Huawei Ascend Framework. 1-5 - Cameron Penne, Joseph L. Garrett, Tor Arne Johansen, Milica Orlandic, Ragna Heggebø:
Independent Component Analysis: A Tool for Algal Bloom Detection. 1-5 - Wenxiang Zhu, Deping Chen, Yinghui Quan, Na Li, Yongxu Liu:
Full Range Feature Extraction Network for Hyperspectral Image Classification. 1-5 - Meesun Yang, William Basener:
Analysis of Spectral Library Variation Using Manifold Learning. 1-8 - Xiaolin Han, Yijie Wei, Huan Zhang, Qizhi Xu, Weidong Sun:
Tuning to Real for Single-Spectrum Hyperspectral Target Detection. 1-5 - Songxiang Yang, Lin Ma, Danyang Qin:
Semantic-Guided Point Cloud Upsampling Method for Visual Localization. 1-5 - Nijitha P, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Solid Waste Detection and Waste-material Characterization in Urban Environment at Subpixel Level in Airborne Hyperspectral Imagery. 1-3 - Santhi Sree. B, Raghavender N, Saritha P. K, Giorgio Licciardi, Patrizia Sacco, Deodato Tapete:
Assessment of Resourcesat-2A Liss-3 Radiometric Calibration Accuracy with Near Simultaneous Prisma Data Over Niger-2. 1-4 - Markus Sebastian Bakken Storeide, Sony George:
Pixel-Based Vertex Clustering for Spectral Data Enrichment of Planar Point Clouds. 1-5 - Zhiqing Zhu, Yuanchao Su, Mengying Jiang, Bin Pan, Jinying Bai, Pengfei Li:
Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder. 1-4 - Zhou Fang, Lin He, Wenrui Liang:
GAN-based Hyperspectral Classification with Spectral Prior. 1-4 - Dennis D. Langer, Simen Berg, Joseph L. Garrett, Roger Birkeland, Sivert Bakken, Tor Arne Johansen, Asgeir J. Sørensen:
Agile Smallsat Operation Tool-Chain Development: HYPSO-1 Hyperspectral Earth Observation Experiences. 1-5 - Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao:
Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. 1-5 - Hilda Deborah, Maria Chiara Palandri, Giulia Oretti:
Estimating the Color Palette of Ortelius' Atlas: A Case Study of Hyperspectral Imaging for Rapid Pigment Screening. 1-5 - Rishika Porandla:
QECM-2: A novel visualization of the influence of Earth's precession index variations on the insolation, precipitation, and photosynthetic activity experienced by equatorial regions. 1-7 - Bilge Yazici, Yücel Çimtay, Bedrettin Çetinkaya:
A New Hyperspectral Multi-Level Synthetic Hazy Image Dataset for Benchmark of Dehazing Methods. 1-6 - Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou:
Multi Modality Siamese Feature Fusion Transformer Tracker for Object Tracking from Hyperspectral Videos. 1-5 - Nithish Reddy Banda, Akhil Galla, Samrat B, Mrinmoy Ghorai:
Spectral Unmixing Using Shape-Driven Blind Deconvolution in Convolutional Autoencoder. 1-4 - Md Omar Faruk, Behnood Rasti, Margret C. Fuchs, Richard Gloaguen, Pedram Ghamisi:
Deep Learning-Based Architectures For Multimodal Instance Segmentation. 1-5 - Chiranjibi Shah, Qian Du:
Attention Aware Generative Adversarial Network for Hyperspectral Image Classification. 1-5 - Theodoros Tsatsoulis, Nikolaos L. Tsakiridis, Konstantinos Karyotis, George C. Zalidis:
Assessing Machine Learning Models for Soil Property Prediction Using Resampled Spectral Data: Implications for Hyperspectral Spaceborne Imaging. 1-6 - Yuan Fang, Alexander De Souza, Linlin Xu, Xinwei Chen, David A. Clausi:
Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery. 1-5 - Arlindo Rodrigues Galvão Filho, Laryssa Rosset Provensi, Lucimar Pinheiro Rosseto, Clarimar José Coelho:
Quality Control Based on Species Classification of Herbal Medicines Using Hyperspectral Imaging and Machine Learning. 1-5 - Riccardo Musto, Alessia Tricomi, Roberta Bruno, Giorgio Pasquali:
Advancing Prisma Pansharpening: A Deep Learning Approach with Synthetic Data Pretraining and Transfer Learning. 1-7 - Hongquan Wang, Keshav D. Singh, Hari Poudel, Prabahar Ravichandran, Manoj Natarajan, Brandon Eisenreich:
Estimation of Crop Height and Digital Biomass from UAV-Based Multispectral Imagery. 1-4 - Miao Tony He, Fangfang Xia, Rick L. Stevens:
Deep Fair Partition for Hyperspectral Image Classification. 1-12 - Ye Wang, Yuheng Liu, Mingyang Ma, Yuru Su, Shaohui Mei:
HSPTrack: Hyperspectral Sequence Prediction Tracker with Transformers. 1-5 - Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei:
MMGLOTS: Multi-Modal Global-Local Transformer Segmentor for Remote Sensing Image Segmentation. 1-5 - Theodoros Tsatsoulis, Nikolaos L. Tsakiridis, Konstantinos Karyotis, George C. Zalidis:
Transferability of Machine Learning Models for Soil Properties on Lucas Topsoil Spectral Libraries. 1-5 - Indu K. C, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Automatic Object Based Plant-level Crop Segmentation in Drone-based Hyperspectral Imagery. 1-3 - Yuedong Tan, Wenfang Sun, Jieran Yuan, Wenwang Du, Zhe Wang, Nan Mao, Beibei Song:
HHTrack: Hyperspectral Object Tracking Based on Hybrid Attention. 1-5 - Shaoxiong Xie, Jia Li, Lin Zhao, Wenjing Hu, Guoyun Zhang, Jianhui Wu, Xinpin Li:
VP-HOT: Visual Prompt for Hyperspectral Object Tracking. 1-5 - Sihao Luo, Li Ma, Xingmei Li:
Unsupervised Domain Adaptation for One-Stage Detector in Remote Sensing Imagery. 1-5 - Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Adrien Weihs, Andrea L. Bertozzi, Jocelyn Chanussot:
Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis. 1-5 - Elias Arbash, Andréa de Lima Ribeiro, Samuel T. Thiele, Nina Gnann, Behnood Rasti, Margret C. Fuchs, Pedram Ghamisi, Richard Gloaguen:
Masking Hyperspectral Imaging Data with Pretrained Models. 1-5 - Elyes Ouerghi, Thibaud Ehret, Gabriele Facciolo, Enric Meinhardt, Jean-Michel Morel, Carlo de Franchis, Thomas Lauvaux:
Model Adjusted Generalized Tests for Methane Plume Detection on Hyperspectral Images. 1-5 - Aksel Gundersen, Samuel Boyle, Milica Orlandic:
An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images. 1-5 - Jade Preston, William Basener:
Predicting Food Insecurity in Africa From Modis Imagery, Demographics, Economic Factors, Climate, and Supply Chain Information. 1-10 - Anthony Medellin, Anant Bhamri, Reza Langari, Swaminathan Gopalswamy:
Real-Time Semantic Segmentation Using Hyperspectral Images for Unstructured and Unknown Environments. 1-5 - Michiel Vlaminck, Zakaria Bnoulkacem, Gonzalo Luzardo, Hamed Zivari Adab, Zohreh Zahiri, Bikram Koirala, Frédéric Mangialetto, Irid Bufi, Ljiljana Platisa, Murali Jayapala, Paul Scheunders, Hiep Luong:
Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging. 1-5 - Lidan Xu, Zebin Wu, Jin Sun, Yi Zhang, Zhihui Wei:
A Distributed Hyperspectral Target Detection Algorithm Based on Background Reconstruction for Cloud Platforms. 1-5 - Si-Sheng Young, Chia-Hsiang Lin, Jhao-Ting Lin:
CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection. 1-5 - Shufang Xu, Sijie Geng, Tingting Fan, Chenming Li, Hongmin Gao:
Hyperspectral Image Classification Method Based on Narrowing Semantic Gap Convolutional Neural Network. 1-5 - Sadia Hussain, Brejesh Lall:
SWUNet: Swin Transformer Based UNet for Hyperspectral Reconstruction. 1-7 - Julia Lascar, Jérôme Bobin, Fabio Acero:
Sushi: Learning-Based Hyperspectral Image Unmixing with Spectral Variabilities. 1-5 - Ronak Jain:
Palaeoproterozoic Talc and Clay Mapping Using Spaceborne Imaging Spectrometer Prisma Data Through Derived Spectral Indices. 1-5 - Samiran Das, Pedram Ghamisi, Richard Gloaguen:
Open Geology Database (OGD): An Integrated Platform for Geological, Mining, and Seismic Datasets for Open Research. 1-5 - Akhil Galla, Samrat B, Nithish Reddy Banda, Arun P. V., Alok Porwal:
Efficient Graph Formulation and Latent Space Integration for Lunar Hyperspectral Image Classification. 1-5 - Sivert Bakken, Kelly Luis, Geir Johnsen, Tor Arne Johansen:
Evaluating Hyperspectral Secchi Depth Retrieval Through Hybrid Modeling and Regression. 1-5 - Jon Álvarez Justo, Joseph L. Garrett, Dennis D. Langer, Marie Bøe Henriksen, Radu Tudor Ionescu, Tor Arne Johansen:
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso-1 Satellite. 1-5 - Jonathan González-Santiago, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification. 1-5 - Aarsha B. R, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Invasive Plant Species Detection in Airborne Hyperspectral Imagery over Complex Forest Landscape. 1-3 - Anne Schucknecht, Sophie Reinermann, Ralf Kiese, Anita Bayer:
Towards The Retrieval of Plant Traits in Grasslands with Hyperspectral Enmap Data. 1-5 - Soorya Suresh, Pattathal V. Arun, Alok Porwal:
Spectral Unmixing in Generative Space: 3D-GAN Based Approach. 1-6 - Ketaki Vinay Jambhali, Bikram Koirala, Zakaria Bnoulkacem, Paul Scheunders:
Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data. 1-5 - William Basener, Jade Preston, Meesun Yang, Michael Luegering:
Ongoing Collection of Hyperspectral, Lidar, and Growth Stage Fundamental Signatures for Vegetation Phenotyping and Large Scale Urban Planning. 1-5 - Frédéric Schmidt, Gaspard Salomon, Sébastien Bourguignon, Joanna Gurgurewicz, Daniel Mège:
Mineralogy Analysis Using Linear Unmixing Under Group Constraint. 1-5 - Yang Hao, Zhifei Chen, Liang Xiao:
Detecting Adversarial Examples for Hyperspectral Image Classification Via Mutation Testing. 1-5 - Zhe Meng, Qian Yan, Feng Zhao, Miaomiao Liang:
Multi-Scale Feature Attention and Transformer for Hyperspectral Image Classification. 1-5 - Jonas G. Røysland, Dennis D. Langer, Simen Berg, Milica Orlandic, Joseph L. Garrett:
Hyperspectral Classification Onboard the Hypso-1 Cubesat. 1-5 - Marco Balsi, Soufyane Bouchelaghem, Livio Conti, Monica Moroni, Riccardo Scalia:
Real-time plastic litter detection using hyperspectral sensing on drone. 1-4 - Binu Melit Devassy, Sony George:
Forensic Document Analysis Using Hyperspectral Imaging and Deep Convolutional Spectral Clustering. 1-5 - Mohammed Q. Alkhatib, Mina Al-Saad, Nour Aburaed, M. Sami Zitouni, Hussain Al-Ahmad:
Attention Based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification. 1-5 - Ioana Cristina Plajer, Alexandra Baicoianu, Luciana Majercsik, Mihai Ivanovici:
NDVI Computation from Hyperspectral Images. 1-5 - Bangyan Hu, Xian Li, Tianzhu Liu:
Multispectral Point Cloud Classification Network Based on Multilateral Attention. 1-5 - Dan Pineau, François Orieux, Alain Abergel:
Exact Solution for Multispectral and Hyperspectral Fusion Via Hessian Inversion. 1-5 - Anthony Medellin, David Grabowsky, Dariusz Mikulski, Reza Langari:
Sam-Sam - A Novel Approach to Hyperspectral Image Semantic Segmentation. 1-5 - Zhaoxu Li, Gaowei Guo, Xu He, Qingyu Xu, Wei Wang, Qiang Ling, Zaiping Lin, Wei An:
RawTrack: Toward Single Object Tracking on Mosaic Hyperspectral Raw Data. 1-5 - Zhaoyue Wu, Xuanwen Tao, Mercedes Eugenia Paoletti, Juan Mario Haut, Rafael Pastor Vargas, Antonio Plaza:
Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection. 1-5 - Huihui Guo, Yang Xu, Zebin Wu, Zhihui Wei:
Hyperspectral Video Tracker Based on Anomaly Suppression and Multi-Feature Integration. 1-5 - Adduru U. G. Sankararao, K. Saikiran, Pachamuthu Rajalakshmi:
Hyperspectral Image Denoising: A Comparative Study On Uav Based Vegetation Data. 1-5 - Chang Liu, Jiawei Zhou, Yanni Dong:
Adaptive Hyperspectral Siamese Network in Transformer. 1-5 - Boao Qin, Chunhui Zhao, Shou Feng, Maoyang Chen, Hongzhe Zhang, Bobo Xi:
Hybrid Spectral-Spatial Convolutional Network and Transformer with Mixup Regularization for Hyperspectral Image Classification. 1-5 - Xavier Lenot, Thierry Erudel, Bruno Lafrance, Sophie Coustance, Camille Desjardins, Damien Rodat, Aimé Meygret:
Corathyp: A New Atmospheric Correction Tool for Satellite Hyperspectral Imaging. 1-5 - Hongjiao Liu, Jiayue He, Jinpeng Wang, Nan Su, Chunhui Zhao, Yiming Yan, Shou Feng, Ze Liu, Jianfei Liu, Zilong Zhao:
Multi-Band Hyperspectral Object Tracking: Leveraging Spectral Information Prompts and Spectral Scale-Aware Representation. 1-5 - Bikram Koirala, Behnood Rasti, Zakaria Bnoulkacem, Paul Scheunders:
Unmixing Intimate Mixtures Using Bézier Surfaces. 1-5 - Paola Manzari, Veronica Camplone, Angelo Zinzi, Eleonora Ammannito, Giuseppe Sindoni, Francesco Zucca, Gianluca Polenta:
Exploiting Prisma Hypespectral Data to Support CRISM Measurements on Paleo-Hydrological Environments on Mars. 1-4 - Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang:
Multimodal Unsupervised Domain Adaptation for Remote Sensing Image Segmentation. 1-5 - Lihan Chen, Kun Tan, Xue Wang, Chen Pan:
Estimation Soil Organic Matter Using Airborne Hyperspectral Imagery. 1-5 - Marie Bøe Henriksen, Fred Sigernes, Tor Arne Johansen:
Comparing Filters for Correction of Second Order Diffraction Effects in Hyperspectral Imagers. 1-5 - Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen:
Transformer-Based Models for Hyperspectral Point Clouds Segmentation. 1-5 - Tian-Yu Ma, Heng-Chao Li, Yu-Bang Zheng, Qian Du:
Fully Tensorized Convolutional Long Short-Term Memory for Hyperspectral Image Classification. 1-5 - Bikram Koirala, Samiran Das, Behnood Rasti, Pedram Ghamisi, Richard Gloaguen, Paul Scheunders:
Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures. 1-5 - Yuqing Ji, Hailong Wu, Xinyi Liang, Hangyun Liu, Ding Zhu, Jiaojiao Li:
DHFN: A Dual-branch Network with Hybrid Fusion for Spatial-Aware Hyperspectral Object Tracking. 1-5 - Kamal Marandskiy, Mihai Ivanovici, Stefan Corcodel, Sabina Costache:
Multispectral Fractal Image Analysis for Soil Roughness Estimation at Various Altitudes. 1-5 - Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba:
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. 1-5 - Peizeng Lin, Xinru Jiang, Lei Sun:
Hyperspectral Image Denoising Via Cosine Transform-Based Tensor Subspace Representation. 1-5 - Zhe Meng, Qian Yan, Feng Zhao, Miaomiao Liang:
Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network. 1-4 - Arvind Kumar Singh, Renuvenkataswamy Sunkara, Govind R. Kadambi:
Hyperspectral Band Selection based on Spectra Division and Deep Convolutional Neural Network. 1-10 - Bjørn Andreas Kristiansen, Dennis D. Langer, Joseph L. Garrett, Simen Berg, Jan Tommy Gravdahl, Tor Anders Johansen:
Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite - in-orbit results. 1-5
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