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9th WHISPERS 2018: Amsterdam, The Netherlands
- 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2018, Amsterdam, The Netherlands, September 23-26, 2018. IEEE 2018, ISBN 978-1-7281-1581-8
- Manuel Cubero-Castan, Klaus Schneider-Zapp, Massimiliano Bellomo, Dai Shi, Martin Rehak, Christoph Strecha:
Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software. 1-4 - Xiangchenyang Su, Fang Liu:
A Survey For Study of Feature Selection Based on Mutual Information. 1-4 - João Fortuna, Tor Arne Johansen:
A Lightweight Payload for Hyperspectral Remote Sensing using Small UAVS. 1-5 - David Gustafsson, Henrik Petersson, Maria Axelsson, David Bergström:
Spectral Cube Reconstruction For a High Resolution Hyperspectral Camera Based on a Linear Variable Filter. 1-5 - Kaouther Tabia, Xavier Desquesnes, Yves Lucas, Sylvie Treuillet:
Influence of Spectral Metrics on the Graph-Based Segmentation of Hyperspectral Images. 1-5 - Tobias Storch, Hans-Peter Honold, Luis Guanter, Peter Schwind, Martin Mücke, Karl Segl, Sebastian Fischer:
The Imaging Spectroscopy Mission Enmap-Its Status and Expected Products. 1-5 - Christos Platias, Zacharias Kandylakis, Efstathios Z. Panagou, George-John E. Nychas, Konstantinos Karantzalos:
Snapshot Multispectral and Hyperspectral Data Processing for Estimating Food Quality Parameters. 1-4 - Philipp M. Maier, Sina Keller:
Machine Learning Regression on Hyperspectral Data to Estimate Multiple Water Parameters. 1-5 - Vineetha Menon, Qian Du:
Randomized non negative matrix factorization for hyperspectral image classification. 1-5 - Bahar Taskesen, Alper Koz, A. Aydin Alatan, Oliver Weatherbee:
Change Detection for Hyperspectral Images Using Extended Mutual Information and Oversegmentation. 1-5 - Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen:
A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. 1-5 - E. M. M. B. Ekanayake, E. M. H. E. B. Ekanayake, A. R. M. A. N. Rathnayake, S. S. P. Vithana, H. M. V. R. Herath, G. M. R. I. Godaliyadda, M. P. B. Ekanayake:
A Semi-Supervised Algorithm to Map Major Vegetation Zones Using Satellite Hyperspectral Data. 1-5 - Sevcan Kahraman, Alp Ertürk, Sarp Ertürk:
Graph Regularized L1/2-Sparsity Constrained Non-Negative Matrix Factorization for Hyperspectral and Multispectral Image Fusion. 1-4 - Jens Kern, Andreas Schenk, Stefan Hinz:
Radiometric Calibration of a UAV-Mounted Hyperspectral Snapshot Camera with Focus on Uniform Spectral Sampling. 1-5 - Mingyi He, Hanxue Mei, Yiming Wu, Hongmei Yan:
Weighted Kernel-Based Signature Subspace Projection for Hyperspectral Target Detection. 1-5 - Martin Habermeyer, Emiliano Carmona, Sabine Engelbrecht, Klaus-Dieter Missling, Helmut Mühle, Andreas Ohndorf, Gintautas Palubinskas, Tobias Storch, Steffen Zimmermann:
Enmap Ground Segment Integration and Technical Verification: Design and Current Status. 1-5 - Hassan Mortada, Vincent Mazet, Charles Soussen, Christophe Collet:
Spectroscopic Decomposition Of Astronomical Multispectral Images Using B-Splines. 1-5 - James M. Murphy, Mauro Maggioni:
Iterative active learning with diffusion geometry for hyperspectral images. 1-5 - Jorge Vicent, Neus Sabater, Luis Alonso, Jochem Verrelst, José F. Moreno:
Alg: a Toolbox for the Generation of Look-Up tables Based on Atmospheric Radiative Transfer Models. 1-5 - Alina E. Maas, Behnood Rasti, Magnus O. Ulfarsson:
Label Noise Robust Classification Of Hyperspectral Data. 1-5 - Wenting Shang, Zebin Wu, Jie Wei, Yang Xu, Ling Qian, Zhihui Wei, Jocelyn Chanussot, Andrea L. Bertozzi:
Gas Plume Detection in Hyperspectral Video Sequence Using Tensor Nuclear Norm. 1-4 - Kang Yu, Jeroen Degerickx, Maarten Van Geel, Olivier Honnay, Ben Somers:
Airborne Imaging Spectroscopy for Assessing Soil Sealing Effect on Urban Tree Health. 1-4 - Tegan H. Emerson, Timothy Doster, Colin C. Olson:
Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. 1-5 - Ramzi Ben Mhenni, Sébastien Bourguignon, Jordan Ninin, Frédéric Schmidt:
Spectral Unmixing with Sparsity and Structuring Constraints. 1-5 - Safak Ozturk, Yunus Emre Esin, Yusuf Artan, Omer Ozdil, Berkan Demirel:
Importance Of Band Selection For Ethene And Methanol Gas Detection In Hyperspectral Imagery. 1-4 - Yaoyao Liu, Chunmei Zhang, Kai Yang, Jianguo Wei:
Research and Application Of Sparse Representation Classification of Remote Sensing Imagery Based on Multi-Feature Modeling. 1-5 - Emre Baseski:
Heliport detection in high-resolution optical remote sensing images. 1-5 - Fadi Kizel, Jón Atli Benediktsson:
Data Fusion of Spectral and Visible Images for Resolution Enhancement of Fraction Maps Through Neural Network and Spatial Statistical Features. 1-5 - Xia Zhang, Weichao Sun, Wenchao Qi, Xing Wu:
Prediction of Soil Lead Content Using Visible and Near-Infrared Spectroscopy. 1-5 - Frosti Palsson, Johannes R. Sveinsson, Magnus O. Ulfarsson:
Single Sensor Image Fusion Using a Deep Residual Network. 1-5 - Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
A Diversified Deep Ensemble for Hyperspectral Image Classification. 1-5 - Pierre Lahaie:
Autonomous Atmospheric Correction Algorithm for Long Wave Infrard Hyperspectral Imagery. 1-5 - Mireille Guillaume, Louis Juste, Xavier Lenot, Yannick Deville, Bruno Lafrance, Malik Chami, Sylvain Jay, Audrey Minghelli, Xavier Briottet, Véronique Serfaty:
NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method. 1-5 - Asad Mahmood, Amandine Robin, Michael Sears:
Modified Residual Method for Estimation of Signal Dependent Noise in Hyperspectral Images. 1-5 - Yanli Sun, Xia Zhang:
Composite Kernel Classification using Spectral-Spatial Features and Abundance Information of Hyperspectral Image. 1-5 - Mohammadmehdi Saberioon, Petr Císar, Laurent Labbé:
In VIVO Fish Diet Discrimination using Selected Hyperspectral Image Classification Methods. 1-5 - Munmun Baisantry, Anil Kumar Sao, Dericks Praise Shukla:
Two-Level Feature Extraction Framework for Hyperspectral Image Classification. 1-5 - Felix M. Riese, Sina Keller:
Fusion of Hyper Spectral and Ground Penetrating Radar Data to Estimate Soil Moisture. 1-5 - Kalimuthu Rajendran, Ramakrishnan Desikan, Hari Shankar Pandalai:
Efficacy of Hyper-Core-Logging in Uranium Exploration: An Investigation From Kaladgi Prospect, India. 1-4 - Safak Ozturk, Yusuf Artan, Yunus Emre Esin, Omer Ozdil:
A Novel 2-Stage Approach For Co2 Gas Detection Using Hyperspectral Imagery. 1-4 - Christoph Pomrehn, Daniel Klein, Andreas Kolb, Peter Kaul, Rainer Herpers:
Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images. 1-5 - Zhaoyue Wu, Hongjun Su, Pan Zheng:
Hyperspectral Anomaly Detection Using Collaborative Representation with PCA Remove Outlier. 1-5 - Xia Zhang, Yanli Sun, Wenchao Qi:
Hyperspectral Image Classification Based on Extended Morphological Attribute Profiles and Abundance Information. 1-5 - Ning Wang, Yaokai Liu, Yonggang Qian, Lingling Ma, Chuanrong Li, Lingli Tang:
Retrieval of Atmospheric Parameters and Land Surface Rflectance from Airborn Hyperspectral Data. 1-5 - Jiaxin Shan, Zhiqiang Gong, Ping Zhong:
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. 1-5 - Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Javier Marcello, Consuelo Gonzalo-Martín:
Classification Using Unmixing Models in Areas With Substantial Endmember Variability. 1-4 - Henning Buddenbaum:
Inverting Procosine-D For Very High Spatial and Temporal Resolution Retrieval of Foliar Biochemistry. 1-5 - Kolluru Srinivas, Shirishkumar S. Gedam, Arun B. Inamdar:
Effect of inclusion of new variables in inversion of semi - analytical model for synthetic hyperspectral data of shallow waters. 1-5 - Xu Sun, Qian Peng, Bing Zhang, Lianru Gao, Lina Yang:
Constraint Non-Negative Matrix Factorization With Sparseness and Piece wise Smoothness for Hyperspectral Unmixing. 1-5 - Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, Nicolas Dobigeon:
Reconstruction Of Partially Sampled EELS Images. 1-5 - Meng Zhao, Chunyan Yu, Meiping Song, Chein-I Chang:
A Semantic Feature Extraction Method For Hyperspectral Image Classification Based On Hashing Learning. 1-5 - Meiping Song, Ming Xu, Chein-I Chang:
Algorithm Research on Endmember Extraction Combined With Distribution Statistics. 1-4 - Long Tian, Qian Du, Ivica Kopriva, Nicolas H. Younan:
Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery. 1-4 - Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. 1-5 - Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavicius:
Urban vegetation mapping by airborne hyperspetral imagery; feasibility and limitations. 1-5 - Asmau M. Ahmed, Olga Duran, Yahya H. Zweiri, Mike Smith:
Application of Hybrid Switch Method to Quantify Oil Spills. 1-5 - Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. 1-5 - Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Analysis of capsulenets towards hyperspectral classification. 1-5 - Meiping Song, Dong An, Chunyan Yu, Jin Huang, Chein-I Chang:
GPU Implentation of Recursive Automatic Target Generation Process and Recursive Orthogonal Subspace Projection in Hyperspectral Imagery. 1-5 - Yasmine Kheira Benkouider, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Yannick Deville, Shahram Hosseini:
Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data. 1-5 - Tianshuai Li, Yanfeng Gu:
Joint Tensor Subspace Alignment on Multi-Angular Remote Sensing Image. 1-5 - Guorui Jia, Qian Xue, Huijie Zhao:
Uncertainty Analysis for Surface Reflectance Retrieved from Hyperspectral Remote Sensing Image using Empirical Line Method. 1-5 - Shuyuan Xu, Jun Li:
Combining Contextual Information for Subspace Based Hyperspectral Image Classification. 1-5 - Jian Wang, Ping Ren, Ke Yang, Chunxia Qin, Xiufei Zhang:
Image Fusion Based on Gradient Regularized Convolution Sparse Representation. 1-4 - María Díaz, Jocelyn Chanussot, Raúl Guerra, Sebastián López, Roberto Sarmiento, Andrea L. Bertozzi:
A Novel Highly Parallel Algorithm For The Detection And Tracking Of Chemical Gas Plumes Using Hyperspectral Video Sequences. 1-5 - Assaf Dvora, Stanley R. Rotman, Mayer E. Aladjem:
Hyperspectral Target Detection Using Tree-Structured Probabilistic Graphical Model and Semi-Parametric Density Estimation. 1-5 - Blanca Priego, Richard Duroy:
Amigo: A Tool For The Generation Of Synthetic Hyperspectral Images. 1-5 - Matti A. Eskelinen, Jyri Hämäläinen:
Dangers of Demosaicing: Confusion From Correlation. 1-5 - Robert Sundberg:
The Impact of Cloud Shadows on Subpixel Target Detection. 1-5 - Nicola Acito, Marco Diani, Giovanni Corsini:
Dictionary Based Temperature and Emissivity Separation Algorithm in LWIR Hyperspectral Data. 1-5 - Sabine Chabrillat, Thomas Schmid, Robert Milewski, Paula Escribano, Mónica García, Eyal Ben-Dor, Stéphane Guillaso, Marta Pelayo, Andres Reyes, Verónica Sobejano-Paz, Marcos Jimenez Michavila:
Mapping Crop Variability Related to Soil Quality and Crop Stress Within Rainfed Mediterranean Agroecosystems Using Hyperspectral Data. 1-5 - Anastasiia Volkova, Jon Baird, Irah Wajchman, Julian Guinane:
Comparison Of Aerial Hyperspectral And Multispectral Imagery: Case Study Of Nitrogen Mapping In Australian Cotton. 1-5 - Pablo Horstrand, Sebastián López, José Francisco López:
A Novel Implementation of a Hyperspectral Anomaly Detection Algorithm For Real Time Applications With Pushbroom Sensors. 1-5 - Ilaria Cesana, Sergio Cogliati, Roberto Colombo, Claudia Giardino, Mariano Bresciani:
Characterization of the Fluorescence Peak on Remote Sensing Reflectance For Different Conditions of Lakegarda. 1-5 - Meziane Iftene, Mohammed El Amin Arabi, Moussa Sofiane Karoui:
Transfering Super Resolution Convolutional Neural Network For Remote Sensing Data Sharpening. 1-4 - Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao:
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. 1-5 - Mohd Shahrimie Mohd Asaari, Stien Mertens, Stijn Dhondt, Nathalie Wuyts, Paul Scheunders:
Detection of Plant Responses to Drought using Close-Range Hyperspectral Imaging in a High-Throughput Phenotyping Platform. 1-5 - Raúl Guerra, María Díaz, Yubal Barrios, Sebastián López, Roberto Sarmiento:
A Hardware-Friendly Algorithm for the On-Board Compression of Hyperspectral Images. 1-5 - Omer Ozdil, Ahmet Gunes, Yunus Emre Esin, Safak Ozturk, Berkan Demirel:
4-Stage Target Detection Approach In Hyperspectral Images. 1-5 - Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel:
Image Fusion for Hyperspectral Image Super-Resolution. 1-5 - Chunyan Yu, Jin Huang, Meiping Song, Dong An, Chein-I Chang:
Recursive Orthogonal Vector Projection for Hyperspectral Image Abundance Estimation Based on GUP. 1-4 - Yaniv Oiknine, Boaz Arad, Isaac August, Ohad Ben-Shahar, Adrian Stern:
Dictionary based Hyperspectral Image Reconstruction Captured with CS-MUSI. 1-5 - Nimrod Carmon, Eyal Ben-Dor, Csaba Lenart:
Investigation of Spectral Assignments from Airborne HRS Sensor to Model Friction Deterioration in Asphaltic Roads. 1-5 - Andreas Kartakoullis, Andreas Kamilaris, Joel Gonzalez, Xavier Serra, Pere Gou, Maria Font:
Hyperspectral Imaging for Assessing the Quality Attributes of Cured Pork Loin. 1-4 - Mustafa Kütük, Alper Koz, A. Aydin Alatan:
Hyperspectral targetdetection by using superpixels and signature based methods. 1-5 - Matteo Moscadelli, Marco Diani, Giovanni Corsini, Aldo Riccobono, Antonio Porta:
Polynomial-Fitting Temperature and Emissivity Separation in LWIR Hyperspectral Imaging. 1-5 - Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Yannick Deville:
Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers. 1-5 - Yifan Zhang, Duanguang Zhang, Ting Wang:
Super-Resolution Classification of Hyperspectral Images with a Small Training Set Using Semi-Supervised Learning. 1-5 - Xuejian Liang, Wanjun Liu, Ye Zhang, Jie Yu, Haicheng Qu:
Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification With Small-Sized Labeled Samples. 1-5 - Oliver Pust, Henrik Fabricius:
3D and snapshot hyperspectral cameras based on continuously variable filters. 1-4 - Jiaojiao Li, Qian Du, Bobo Xi, Yunsong Li:
Hyperspectral Image Classification Via Sample Expansion for Convolutional Neural Network. 1-5 - Xiangtian Yuan, Jiaojiao Tian, Daniele Cerra, Oliver Meynberg, Christian Kempf, Peter Reinartz:
Tree Species Classification by Fusing of Very Highresoltuion Hyperspectral Images and 3K-DSM. 1-5 - Jakob Sigurdsson, Magnus O. Ulfarsson, Johannes R. Sveinsson:
Parameter Estimation For Blind lq Hyperspectral Unmixing Using Bayesian Optimization. 1-5 - N. N. Salghuna, Rama Chandra Prasad, N. Rama Rao:
Discrimination of Tree Species Based on Their Spectra Collected at Spatio-Temporal Scale In The Forest of Araku, Eastern Ghats, India. 1-5 - Ramakrishnan Desikan, Kalimuthu Rajendran:
Exploring Rock Phosphates Using Hyperspectral Remote Sensing & Field Spectroscopy. 1-5 - Andersen Man Shun Ang, Nicolas Gillis:
Volume regularized non-negative matrix factorizations. 1-5 - Mingming Xu, Guangyu Zhang, Yanguo Fan, Bo Du, Jie Li:
Archetypal analysis for endmember bundle extraction considering spectral variability. 1-4 - Ilkka Pölönen, Leevi Annala, Samuli Rahkonen, Olli Nevalainen, Eija Honkavaara, Sakari Tuominen, Niko Viljanen, Teemu Hakala:
Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network. 1-5 - Alp Ertürk:
Unmixing based Change Detection for Hyperspectral Images with Endmember Variability. 1-5 - Mohammed Q. Alkhatib, Miguel Velez-Reyes:
Regional vs. Global Superpixel-Based Unmixing of Hyperspectral Imagery. 1-5 - Jay Prakash Kumar, Shailesh Deshpande, Arun Inamdar:
Detection Of Fertilizer Quantity In Soil Using Hyperspectral Data. 1-4 - Yubal Barrios, Antonio J. Sánchez, Lucana Santos, Sebastián López, José Francisco López, Roberto Sarmiento:
Hardware Implementation of the CCSDS 123.0-B-1 Lossless Multispectral and Hyperspectral Image Compression Standard by means of High Level Synthesis Tools. 1-5 - Clémence Goyens, Kevin Ruddick, Joel Kuusk:
Spectral Requirements for the Development of a New Hyperspectral Radiometer Integrated in Automated Networks - the Hypernets Sensor. 1-5 - Jan Oehlschläger, Urs Schmidhalter, Patrick Ole Noack:
UAV-Based Hyperspectral Sensing for Yield Prediction in Winter Barley. 1-4 - Stefan Livens, Stephanie Delalieux, Laurent Tits, Yasmin Vanbrabant:
Improved Coregistration of Multidate and Multisensor Orchard Imagery. 1-5 - Yukun Wang, Yanfeng Gu:
Multispectral-lidar data fusion via multiple kernel learning for remote sensing classification. 1-6 - Jignesh S. Bhatt, Manjunath V. Joshi, S. S. Vijayashekhar:
A Multitemporal Linear Spectral Unmixing: An Iterative Approach Accounting For Abundance Variations. 1-5 - Sven Schneider, Richard J. Murphy, Arman Melkumyan:
A Probabilistic Framework for Fusing Classifications Derived From Multi-Temporal Hyperspectral Imagery. 1-5 - Frosti Palsson, Johannes R. Sveinsson, Magnus O. Ulfarsson:
Single Sensor Image Fusion Using A Deep Convolutional Generative Adversarial Network. 1-5 - Dalton S. Rosario, Anthony Ortiz, Olac Fuentes:
3D Terrain Segmentation in the Swir Spectrum. 1-5
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