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ORCID14th WHISPERS 2024: Helsinki, Finland
- 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2024, Helsinki, Finland, December 9-11, 2024. IEEE 2024, ISBN 979-8-3315-1313-9
- Zakaria Bnoulkacem, Bikram Koirala, Paul Scheunders:
Improving Spectral Unmixing Performance by Frequency Component Reduction. 1-5 - Pritish Naik, Ilkka Pölönen
, Pauliina Salmi:
A New Version of an Endmember-Guided Autoencoder (EGAE-V2) with Improved Architecture and Regularization by Correlation Between Ground Truths and Latent Activations. 1-5 - Philippe Soubrier, Rafal Muszynski, Nathan Van Den Bossche, Hiep Luong, Michiel Vlaminck:
Automated Inspection of Heritage Sites: UAV RGB and Hyperspectral Photogrammetry Applied to Castle of Horst. 1-5 - Anthony Medellin, David Grabowsky, Albert Ma, Dariusz Mikulski, Reza Langari:
Amodal Memory-Based Hyperspectral Object Tracking. 1-5 - Ethan King, Jaime Rodriguez, Diego Llanes, Timothy Doster, Tegan Emerson, James Koch:
Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing. 1-6 - Gabriele Candiani, Francesco Nutini, Lorenzo Parigi, Monica Pepe, Mirco Boschetti:
Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset. 1-5 - Efkan Durakli, Deren Ege Turan, M. Thota, Petra Bosilj, Erchan Aptoula:
Band Aware Domain Generalization for Cross-Country Multispectral Remote Sensing Scene Classification. 1-5 - Nathaniel Hanson, Philip Manke, Simon Birkholz, Maximilian Mühlbauer, Rene Heine, Arnd Brandes:
Cuvis.AI: An Open-Source, Low-Code Software Ecosystem for Hyperspectral Processing and Classification. 1-5 - Aoife Keane, Antonio Di Buono, Neil Cockbain, Robert Bernard, Paul Murray, Jaime Zabalza:
Novel Means of Salt Concentration Prediction and Mapping on Metallic Surfaces Using Shortwave-Infrared Hyperspectral Imaging. 1-6 - Sandeepan Dhoundiyal, Shivam Kumar, Debosmita Paul, Malcolm Aranha, Guneshwar Thangjam, Alok Porwal:
Optimal Feature Selection for Estimating Lunar Soil Maturity from Spectroscopic Data. 1-4 - Alejandra Inga Quezada, Leonardo Tomazeli Duarte, Yannick Deville, Fatima Zohra Benhalouche, Moussa Sofiane Karoui:
Hyperspectral Bilinear Endmember Spectra Extraction Using a New Shifting Multiplicative NMF Method. 1-5 - Huang Wan, Shaoxiong Xie, Tian Luo, Siqi Ma, Lin Zhao, Wen Li, Wenjing Hu:
SPA-Tracker: Spectral Prompt Adaptation for Hyperspectral Object Tracking. 1-5 - Scott Fullenbaum, James M. Murphy:
Active Learning for Hyperspectral Images with Regularized Wasserstein Dictionary Learning. 1-5 - William Basener, Abigail Basener, Michael Luegering:
An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features. 1-7 - Erica Matta, Giandomenico De Luca, Monica Pepe, Paolo Pogliotti, Mariano Bresciani, Lorenzo Genesio, Beniamino Gioli, Claudia Giardino:
Mapping Glacial Lakes with Prisma Images. 1-6 - Carolina Blanch Perez del Notario, Amir Asadollahi, Pieter Bertier, Murali Jayapala:
Multispectral Snapshot Microscopy as an Exposure Assessment Tool. 1-5 - Carolina Blanch Perez del Notario, Aala Azari, Murali Jayapala, Andy Lambrechts:
Microplastic Discrimination with Hyperspectral Microscopy. 1-5 - Martin Hermann Paul Fuchs, Akshara Preethy Byju, Alisa Walda, Behnood Rasti, Begüm Demir:
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images. 1-5 - Katayoun Fakherifard, Federico Grosso, Paolo Pogliotti, Erica Matta, Monica Pepe:
Potentials of Prisma Hyperspectral Imagery for Mapping Debris Covered ICE: First Results in the Monte Rosa District (Italian Alps). 1-6 - Elias Arbash, Andréa de Lima Ribeiro, Aldino Rizaldy, Margret Fuchs, Pedram Ghamisi, Paul Scheunders, Richard Gloaguen:
Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification. 1-6 - Daniel Vorhaug, Samuel Boyle, Milica Orlandic:
High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model. 1-5 - Hanzheng Wang, Yangfan Li, Wei Li:
Spectral-Temporal Token-Guided Prompt Mamba for Hyperspectral Object Tracking. 1-5 - Yubo Ma, Siyu Cai:
A Fuzzy Clustering-Based Feature Extraction Approach for Hyperspectral Target Detection. 1-5 - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving. 1-8 - Jannick Kuester, Andreas Michel, Simon Schreiner, Wolfgang Middelmann, Wolfgang Gross, Michael Heizmann:
Effects of a Multi-Sensor Convolutional Autoencoder Model for Lossy Hyperspectral Data Compression on Surveillance Target Detection. 1-5 - Samantha Lavender, Robert Elliott, Dave King, Tony Canas, Stephanie Mottershead, Tom Potter:
A Review of the Mission Requirements for a Hyperspectral Smallsat Mission Focused on Atmospheric Gases. 1-5 - Hongquan Wang, Keshav D. Singh, Parthiba Balasubramanian, Manoj Natarajan:
UAV-Based Multispectral and RGB Imaging Techniques for Dry Bean Phenotyping. 1-5 - Soorya Suresh, Arun P. V., Alok Porwal:
Sparse Coding Inspired GAN for Hyperspectral Unmixing. 1-5 - Deepti Patole, Himali Patil, Sangita Chaudhari:
Remote Sensing Image Forgery Detection Using Split and Merge Input U-Net. 1-5 - Bowen Chen, Keyan Chen, Liqin Liu, Zhenwei Shi, Zhengxia Zou:
Leveraging Language-Aligned Visual Knowledge for Remote Sensing Image Spectral Super-Resolution. 1-5 - Ravikumar Yenni, Arun P. V.:
Semantic Segmentation and Spatial Relationship Modeling in Hyperspectral Imagery Using Deep Learning and Graph-Based Representations. 1-4 - Meiping Song, Zhenyu Guo, Haimo Bao:
Spectral Similarity on Low-Rank and Sparse Component for Anomaly Detection. 1-6 - Kefan Li, Yuting Wan, Ailong Ma, Yanfei Zhong:
A Lightweight Classification Network for Hyperspectral Imagery Based on Operation and Topology Search Decoupling. 1-4 - Koushikey Chhapariya, Emmett J. Ientilucci, Alexandre Benoit, Krishna Mohan Buddhiraju, Anil Kumar:
Joint Multitask Learning for Image Segmentation and Salient Object Detection in Hyperspectral Imagery. 1-5 - Rafal Muszynski, Hiep Luong:
Cube it: Training Hyperspectral Demosaicing Models Using Synthetic Datasets. 1-5 - Martin Habermeyer, S. Baumann, Emiliano Carmona, Sabine Chabrillat, Vera Krieger, L. La Porta, Nicole Pinnel, Miguel Pato, Katrin Wirth:
EnMAP Operations in Light of Data Product Statistics. 1-5 - Tianyi Jia, Magdalena Smigaj, Gert Kootstra, Lammert Kooistra:
Detection of Diseased Potato Plants with UAV Hyperspectral Imagery. 1-5 - Danish Ali Chaghdo, Bikram Koirala, Laura Cristina, Roald Hayen, Paul Scheunders:
Exploring the Potential of Hyperspectral Imaging to Estimate the Moisture Content in Natural and Historical Stones. 1-5 - Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes:
Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. 1-5 - Langkun Chen, Yunhe Zhang, Yuze Ke, Long Gao, Weiying Xie:
Hyperspectral Object Tracking with Low-Rank Adaptation. 1-5 - Andrei Racoviteanu, Artur Kazak, Nicolae Secrieru, Mihai Ivanovici:
Fuzzy Logic-Based Visualization and Interpretation of NDVI Maps. 1-5 - Sebastian Rößler, Andreas J. Dietz:
Determination of Snow Pollution from EnMAP and in Situ Data. 1-5 - Jiawei Zhou, Jiaqi Zhang, Yanni Dong:
Incorporating Prompt Learning and Adaptive Dropping Hyperspectral Information Tracker for Hyperspectral Object Tracking. 1-5 - Wangquan He, Qi Ren, Hongtao Zhang, Ziqian Mo, Nanying Li, Meng Xu, Sen Jia:
DeSAM2: Detection-Driven SAM2 for Hyperspectral Object Tracking. 1-5 - Imad Ali Shah, Jiarong Li, Martin Glavin, Edward Jones, Enda Ward, Brian M. Deegan:
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models. 1-5 - Yash Toshniwal, Saransh Vottery, Sandeepan Dhoundiyal, Alok Porwal:
A New Algorithm for Detecting Carbonates Using Crism Hyperspectral Data. 1-4 - Erick A. Adje, Gilles Delmaire, Arnaud S. R. M. Ahouandjinou, Matthieu Puigt, Gilles Roussel:
Robust Approach for Butterfly Species Classification Using a Single Spatio-Hyperspectral Image. 1-5 - Anusha Aswath, B. H. Peter Duinkerken, Ben N. G. Giepmans, George Azzopardi, Ahmad M. J. Alsahaf:
Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy. 1-5 - M. Sami Zitouni, Mohammed Q. Alkhatib, Nour Aburaed, Hussain Al-Ahmad:
A Comparative Analysis of Attention Mechanisms in 3D CNN-Based Hyperspectral Image Super-Resolution. 1-5 - Meesun Yang, William Basener:
Analysis of Vegetation Chemistry Using Feature Selection and Learning Methods on Hyperspectral Images. 1-11 - Rafal Muszynski, Gonzalo Luzardo, Zohreh Zahiri, Roeland Vandebriel, Michiel Vlaminck, Ljiljana Platisa, Frédéric Mangialetto, Hiep Luong:
Drone-Based Corrosion Detection on High-Voltage Transmission Towers Based on Spectral Angle Classification and Clustering. 1-5 - Amir Masoud Chegoonian, Keshav D. Singh, Charles M. Geddes, Christian Hansen, Hongquan Wang:
Multispectral Drone Imaging for Non-Destructive Estimation of Nitrogen Content in Canola and Wheat. 1-5 - Rupsa Chakraborty, Samuel T. Thiele, Parth Naik, Moritz Kirsch, Richard Gloaguen:
Integrating Airborne and Satellite Hyperspectral Data for Enhanced Spectral Unmixing. 1-5 - Akinlolu Sylvester Akinbowale, Olusegun Olaitan Akinyemi:
Assessment of Post-Fire Changes in Albedo and NDVI in Boreal Forests of Northwest Canada Using Multispectral Satellite Data. 1-6 - Corneliu Florea, Andrei Racoviteanu, Mihai Ivanovici:
Quantification of Hyperspectral Planes Effectiveness - A Semantic Segmentation Perspective. 1-5 - Tarun Patibandla, Arun PV, Alok Porwal:
Efficient Spectral Attention Block for Cascaded Hyperspectral Image Super-Resolution Architectures. 1-5 - Daniel C. Zanotta, Lais V. de Souza, Marcelo K. De Souza, Alysson S. Ayres, Vinícius Ferreira Sales, Graciela Eliane dos Reis Racolte, Delano Menecucci Ibanez, Luiz G. Silveira, Maurício Roberto Veronez:
Mineralogical Classification of Sedimentary Rocks by Spectral Matching Techniques Based on Library and Field-Work References. 1-5 - Chiranjibi Shah, Qian Du:
Class-Specific Spatial-Aware Collaborative Representation for Hyperspectral Image Classification. 1-4 - Daniel C. Zanotta, Leonardo D. Araújo, Marcelo K. De Souza, Delano Menecucci Ibanez, Luiz G. Silveira, Maurício Roberto Veronez:
Indirect Calibration of Hyperspectral Images Using Rock Samples. 1-5 - Parth Naik, Rupsa Chakraborty, Sam Thiele, Moritz Kirsch, Richard Gloaguen:
Multi-Objective Optimization Based Hyperspectral Feature Engineering for Spectral Abundance Mapping. 1-5 - Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel, Matthieu Puigt:
Coupled VAE and Interpolator Approach for Fast Hyperspectral Image Emulation. 1-5 - Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal:
Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training. 1-5 - Sélim Ollivier, Yann Gousseau, Sidonie Lefebvre:
Multispectral Style Distances and Application to Texture Synthesis Using RGB Convolutional Neural Networks. 1-5 - Rodolfo Ceriani, Monica Pepe, Sebastian Brocco, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Fava:
Exploring the Potential of EMIT Hyperspectral Data for Assessing Forest Biomass: An Alpine Case Study. 1-5 - Nina Eckertz, Hilda Deborah, Jon Yngve Hardeberg, Irina Crina Anca Sandu:
Spatially Constrained Hyperspectral Pigment Mapping Using Watershed Segmentation. 1-5 - Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir:
HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression. 1-5 - Jade Preston, William Basener:
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective. 1-8 - Paolo Addesso, Gemine Vivone, Rocco Restaino, Marco Carpentiero, Jocelyn Chanussot:
Regression-Based Injection for Hyperspectral Pansharpening Within A Generalized Laplacian Pyramid Framework. 1-5 - Vittoria Bruni, Giuseppina Monteverde, Domenico Vitulano:
Heisenberg Principle-Inspired Filters Size Setting in 3D CNN for Hyperspectral Data Classification. 1-5 - Colin Prieur, Nassim Ait Ali Braham, Paul Tresson, Grégoire Vincent, Jocelyn Chanussot:
Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning. 1-5 - Lorenzo Parigi, Gabriele Candiani, Mirco Boschetti:
Retrieval of Wheat Traits from Prisma Data Through Neural Networks with Different Training Setups. 1-5 - Trung-Tin Dinh, Hervé Carfantan, Antoine Monmayrant, Simon Lacroix:
Statistical Tests for Hyperspectral Coded Data Unsupervised Classification. 1-5 - Zina-Sabrina Duma, Tuomas Sihvonen, Jouni Susiluoto, Otto Lamminpää, Heikki Haario, Satu-Pia Reinikainen:
Kernel-Based Retrieval Models for Hyperspectral Image Data Optimized with Kernel Flows. 1-5 - Jeongho Min, Sungbin Son, Hyeonjin Kim, Seunghyeok Back, Jaejun Yoo, Youngkyun Kong:
Gated-MCBAM: Cross-Modal Block Attention Module with Gating Mechanism for Remote Sensing Segmentation. 1-5 - Zixuan Qian, Zongming Li, Bin Feng, Wenyu Liu, Xinggang Wang:
Track Hyperspectral Videos via Segment Anything Model 2. 1-5 - Ondrej Vaculík, Mojmir Sery, Lukás Silhan, Denisa Silhanová, Pavel Zemánek:
Addressing Data Management for Custom Built Hyperspectral Microscopy Station. 1-5 - Robert Sundberg:
In-Scene Atmospheric Compensation of MWIR Spectral Imagery. 1-5 - Mohammed Q. Alkhatib, Ali Jamali:
HSIFormer: An Efficient Vision Transformer Framework for Enhanced Hyperspectral Image Classification Using Local Window Attention. 1-5 - Hugues Kouakou, José Henrique de Morais Goulart, Raffaele Vitale, Thomas Oberlin, David Rousseau, Cyril Ruckebusch, Nicolas Dobigeon:
On-the-Fly Spectral Unmixing for Real-Time Hyperspectral Data Analysis. 1-5 - Shishir Paramathma Rao, Srijith Rajeev, Jessica Lee, Karen Panetta, Nikhil Nair, Jessica White:
Rapid Non-Invasive Detection of Pathogenic E. Coli on Spinach Leaves Using Hyperspectral Imaging and Deep Learning. 1-7 - Dipendra J. Mandal, Hilda Deborah, Markus Sebastian Bakken Storeide:
Metrology-Based Statistical Framework for Monitoring Changes in Hyperspectral Datasets of Artworks. 1-5 - Ahmed Jamal Afifi, Aldino Rizaldy, Elias Arbash, Sandra Lorenz, Richard Gloaguen, Michael Heizmann:
Multi-Sensor Multi-Stream Data Fusion Using Deep Learning for Hyperspectral Point Cloud Segmentation. 1-5 - Jonathan González-Santiago, Wolfgang Gross, Wolfgang Middelmann:
Evaluation of Self-Supervised Learning Techniques for Non-Parametric Few-Shot Hyperspectral-Lidar Classification. 1-6 - Delphine Doutsas, Bruno Figliuzzi:
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations. 1-5 - Jiepan Li, He Huang, Yu Xia:
Fusion of Multiple Models with Multi-Modal Datasets: Land Cover Mapping in the Yangtze River Economic Belt. 1-5 - Hemanth Kotapati, Arun P. V.:
Spatial Super Resolution of Hyperspectral Images: Novel Approaches for Learning Deep Spatial-Spectral Prior. 1-5 - Afonso Serrão Caroço De Carvalho, Thomas Oberlin:
Patch Normalizing Flow Regularization for Hyperspectral Pansharpening. 1-5 - Chenyu Li, Bing Zhang, Haoran Xu, Danfeng Hong:
Hyperkan: An Interpretable Approximation Network for Hyperspectral Superresolution. 1-5 - Simon A. Trim, Daniel Schläpfer:
Development of an Integrated Physical Hyperspectral Imaging (HSI) Point Cloud Data Processor. 1-5 - Xian Xu, Yinhe Liu, Yinxin Wu, Qi Guo, Kaiyi Xiao, Yanfei Zhong:
Multimodal Remote Sensing Land Cover Data Augmentation and Classification Based on Diffusion Model. 1-5 - Kabir Tripathi, James M. Murphy:
Learning By Evolving Nonlinear Diffusion for Active Learning on Hyperspectral Images. 1-5 - Mingying Lin, Ziqian Mo, Hongtao Zhang, Xiyou Fu, Meng Xu:
Spectral Reconstruction via Dual Cross-Scanning and Cross-Attention Mechanisms. 1-5 - Ranko Lau, Jing Yao, Chenyu Li, Danfeng Hong, Jocelyn Chanussot:
Deformable Kolmogorov-Arnold Networks For Hyperspectral Image Classification. 1-5 - A. K. Ruvalcaba Perez, G. Siess, N. Janunts, V. Boehm, Andreas Tünnermann:
Evaluation of Internal and External Starch Changes in Apples Using Hyper-Spectral Analyses in the NIR-SWIR. 1-5 - Yuzeng Chen, Qiangqiang Yuan:
HySSTP: Hyperspectral Video Tracker Embedding Multi-Modal Spatial-Spectral-Temporal Features. 1-5
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