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Applications of Remote Sensing in Coastal Areas
| Applications of Remote Sensing in Coastal Areas |
| Autore | Topouzelis Konstantinos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (288 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
ASAR
barrier island beach topography Bohai sea ice cliff coastlines coastal monitoring coastal ocean Coastal process coastal remote sensing coastline contour extraction CubeSats data cube drone dune vegetation classification dunes Euclidean distance ground settlement habitat mapping Hainan Island harmonization heat advection hydrography hypertemporal intensity integral error land cover Landsat LiDAR MABEL marine reclamation land morphological change multi-sensor multi-temporal NDVI multispectral satellite images mutual information n/a new feature non-parametric Bayesian network object-based classification object-based image analysis (OBIA) oceanic thermal response OLCI imagery photogrammetry Photon-counting lidar pixel-based classification pixels based supervised classification PlanetScope Pleiades polarimetric decomposition polarimetric SAR Random Forest remote sensing RTK-GPS satellite remote sensing satellite-derived bathymetry sea ice extent sea ice information index semi-global subpixel localization Sentinel-1 ship detection shoreline mapping signal photons southern Baltic Sea sub-pixel surface water mapping terrestrial laser scanner thresholding time series InSAR time-series analysis UAS data acquisition unmanned aerial system unmanned aerial vehicle (UAV) unmanned aircraft system (UAS) vegetation mapping water extraction water indices waterline extraction wind wake Xiamen New Airport zones of confidence |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557555803321 |
Topouzelis Konstantinos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing Data Compression
| Remote Sensing Data Compression |
| Autore | Lukin Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D-CALIC
CCSDS CCSDS 123.0-B-2 compact data structure complexity compressed sensing compression impact compressive sensing computational complexity coupled dictionary crop classification DACs data compression EBCOT Elias codes FAPEC FPGA fully convolutional network GPU graph filterbanks graph signal processing group convolution HEVC high bit-depth compression hyperspectral hyperspectral image hyperspectral image coding hyperspectral images hyperspectral imaging hyperspectral scenes image classification image quality integer-to-integer transforms intra coding invertible projection JPEG 2000 JPEG2000 k2-raster k2-tree Landsat-8 learned compression lossless compression lossy compression M-CALIC multispectral multispectral image compression multispectral satellite images near-lossless hyperspectral image compression neural networks on board compression on-board compression on-board data compression on-board processing parallel computing partitioned extraction PCA PForDelta quadtree rate-distortion real time real-time compression real-time performance real-time transmission remote sensing remote sensing data compression Rice codes semantic segmentation Sentinel-2 Simple16 Simple9 singular value spectral image spectral-spatial feature synthetic aperture sonar task-driven learning tensor decomposition transform transform coding UAV UAVs underwater sonar imaging variational autoencoder visual quality metrics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557383103321 |
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Lukin Vladimir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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