| Hyperspectral image compression using vector quantization, PCA and JPEG2000 D Báscones, C González, D Mozos Remote sensing 10 (6), 907, 2018 | 67 | 2018 |
| Parallel implementation of the CCSDS 1.2. 3 standard for hyperspectral lossless compression D Báscones, C Gonzalez, D Mozos Remote Sensing 9 (10), 973, 2017 | 36 | 2017 |
| FPGA implementation of the CCSDS 1.2. 3 standard for real-time hyperspectral lossless compression D Báscones, C González, D Mozos IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 35 | 2017 |
| An extremely pipelined FPGA implementation of a lossy hyperspectral image compression algorithm D Báscones, C González, D Mozos IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7435-7447, 2020 | 22 | 2020 |
| An FPGA accelerator for real-time lossy compression of hyperspectral images D Báscones, C González, D Mozos Remote Sensing 12 (16), 2563, 2020 | 17 | 2020 |
| A real-time FPGA implementation of the ccsds 123.0-b-2 standard D Báscones, C Gonzalez, D Mozos IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 7 | 2022 |
| FPGA implementation of a hardware optimized automatic target detection and classification algorithm for hyperspectral image analysis R Macias, S Bernabé, D Báscones, C González IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 6 | 2022 |
| Protecting the Ccsds 123.0-B-2 Compression Algorithm Against Single-Event Upsets for Space Applications D Báscones, F García-Herrero, Ó Ruano, C González, D Mozos, ... Available at SSRN 4803999, 0 | | |
Carlos González CalvoComplutense University of Madrid, Department of Computer Architecture and AutomationDirección de correo verificada de fdi.ucm.es
