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Publication search results
found 82 matches
- 2024
- Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu:
BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - Panagiotis Chatziantoniou, Antonis Tsigkanos, Dimitris Theodoropoulos, Nektarios Kranitis, Antonis M. Paschalis:
A Parallel Architecture and Implementation for Near-Lossless Hyperspectral Image Compression Based on CCSDS 123.0-B-2 With Scalable Data-Rate Performance. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1616-1629 (2024) - Vijay Joshi, J. Sheeba Rani:
An Efficient FPGA Implementation of a Simple Lossless Algorithm (SLA) for On-board Satellite Hyperspectral Data Compression. ISCAS 2024: 1-5 - 2023
- Mohammad M. Salut, David V. Anderson:
Tensor Robust CUR for Compression and Denoising of Hyperspectral Data. IEEE Access 11: 77492-77505 (2023) - Vijay Joshi, J. Sheeba Rani:
A Simple Lossless Algorithm for On-Board Satellite Hyperspectral Data Compression. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Jannick Kuester, Wolfgang Gross, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023) - Martin Hermann Paul Fuchs, Begüm Demir:
HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods. IGARSS 2023: 1779-1782 - Jannick Kuester, Wolfgang Groß, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. IGARSS 2023: 5383-5386 - Vijay Joshi, Sheeba J. Rani:
In-Memory-Computing (IMC) Technique in Local Difference Decision Block of an On-Board Satellite Hyperspectral Data Compression Algorithm. MWSCAS 2023: 536-540 - Martin Hermann Paul Fuchs, Begüm Demir:
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods. CoRR abs/2306.00385 (2023) - 2022
- Mersedeh Beitollahi, S. Abolfazl Hosseini, Sayed A. Hadei:
Hyperspectral data compression by using rational function curve fitting in spectral signature subintervals and Savitsky-Golay smoothing filter. Earth Sci. Informatics 15(2): 1215-1232 (2022) - José M. Melián, María Díaz, Alejandro Morales, Raúl Guerra, Sebastián López, José Francisco López:
A Novel Data Reutilization Strategy for Real-Time Hyperspectral Image Compression. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Riccardo La Grassa, Cristina Re, Gabriele Cremonese, Ignazio Gallo:
Hyperspectral Data Compression Using Fully Convolutional Autoencoder. Remote. Sens. 14(10): 2472 (2022) - Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà:
Hyperspectral remote sensing data compression with neural networks. DCC 2022: 476 - Jannick Kuester, Wolfgang Gross, Simon Schreiner, Michael Heizmann, Wolfgang Middelmann:
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. WHISPERS 2022: 1-5 - 2021
- Adriënne E. Oudijk, Fred Sigernes, H. C. J. Mulders, Sivert Bakken, Tor Arne Johansen:
Quality Assessments of Standard Video Compression Techniques Applied to Hyperspectral Data Cubes. WHISPERS 2021: 1-5 - 2020
- Yubal Barrios, Antonio J. Sánchez, Lucana Santos, Roberto Sarmiento:
SHyLoC 2.0: A Versatile Hardware Solution for On-Board Data and Hyperspectral Image Compression on Future Space Missions. IEEE Access 8: 54269-54287 (2020) - Kevin Chow, Dion Eustathios Olivier Tzamarias, Miguel Hernández-Cabronero, Ian Blanes, Joan Serra-Sagristà:
Analysis of Variable-Length Codes for Integer Encoding in Hyperspectral Data Compression with the k2-Raster Compact Data Structure. Remote. Sens. 12(12): 1983 (2020) - 2019
- Bruno Aiazzi, Massimo Selva, Alberto Arienzo, Stefano Baronti:
Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data. Remote. Sens. 11(7): 791 (2019) - Kevin Chow, Dion Eustathios Olivier Tzamarias, Ian Blanes, Joan Serra-Sagristà:
Using Predictive and Differential Methods with K2-Raster Compact Data Structure for Hyperspectral Image Lossless Compression. Remote. Sens. 11(21): 2461 (2019) - Tushar Shankar Shinde, Anil Kumar Tiwari, Weiyao Lin:
Low-Complexity Adaptive Switched Prediction-Based Lossless Compression of Time-Lapse Hyperspectral Image Data. GlobalSIP 2019: 1-5 - 2018
- Hongda Shen, Zhuocheng Jiang, W. David Pan:
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. J. Imaging 4(12): 142 (2018) - Zeynep Gundogar, Behcet Ugur Töreyin, Metin Demiralp:
Tridiagonal Folmat Enhanced Multivariance Products Representation Based Hyperspectral Data Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3272-3278 (2018) - Mersedeh Beitollahi, S. Abolfazl Hosseini:
Hyperspectral Data Compression by Using Rational Function Curve Fitting in Spectral Signature Subintervals. CSNDSP 2018: 1-6 - 2017
- Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Joan Bartrina-Rapesta:
Hyperspectral IASI L1C Data Compression. Sensors 17(6): 1404 (2017) - Hairong Wang, Turgay Çelik:
Sparse Representation-Based Hyperspectral Data Processing: Lossy Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 2036-2045 (2017) - Hongda Shen, W. David Pan, Dongsheng Wu:
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions. IEEE Trans. Geosci. Remote. Sens. 55(1): 173-182 (2017) - Kaori Tanji, Atsushi Imiya, Hayato Itoh, Hiroaki Kuze, Naohiro Manago:
Linear Data Compression of Hyperspectral Images. ICCV Workshops 2017: 3001-3007 - 2016
- Mersedeh Beitollahi, S. Abolfazl Hosseini:
Using curve fitting for spectral reflectance curves intervals in order to hyperspectral data compression. CSNDSP 2016: 1-5 - George Tzagkarakis, Wouter Charle, Panagiotis Tsakalides:
Data compression for snapshot mosaic hyperspectral image sensors. EUSIPCO 2016: 1558-1562
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