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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
| Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
| Autore | Kavzoglu Taskin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
aerial images
AI on the edge artificial neural networks China classification classification ensemble CNN CNNs convolutional neural network convolutional neural networks convolutional neural networks (CNNs) deep learning dense network digital terrain analysis dilated convolutional network earth observation end-to-end detection Faster RCNN feature fusion Feicheng few-shot learning Gaofen 6 Gaofen-2 imagery geographic information system (GIS) hyperspectral image classification hyperspectral images image downscaling image segmentation land-use LiDAR light detection and ranging machine learning mask R-CNN mask regional-convolutional neural networks microsat mission mixed forest mixed-inter nonlinear programming model generalization multi-label segmentation multi-scale feature fusion nanosat on-board optical remote sensing images post-processing quadruplet loss remote sensing resource extraction semantic features semantic segmentation Sentinel-2 ship detection single shot multi-box detector (SSD) spatial distribution SRGAN statistical features super-resolution superstructure optimization Tai'an transfer learning unmanned aerial vehicles winter wheat You Look Only Once-v3 (YOLO-v3) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148403321 |
Kavzoglu Taskin
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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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Marine Geomorphometry / Vincent Lecours, Margaret Dolan, Vanessa Lucieer
| Marine Geomorphometry / Vincent Lecours, Margaret Dolan, Vanessa Lucieer |
| Autore | Lecours Vincent |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (400 p.) |
| Soggetto non controllato |
geomorphology
simulation accuracy spatial scale marine geomorphology surface roughness forage fish satellite imagery thalwegs digital elevation models (DEMs) Seabed 2030 Pacific sand lance Acoustic applications python Nippon Foundation/GEBCO Oceanic Shoals Australian Marine Park submarine topography multi beam echosounder sedimentation bedforms carbonate banks polychaete cold-water coral multiscale automated-mapping semi-automated mapping sediment habitats Atlantic Ocean Northwestern Australia random forest benthic habitat mapping paleoclimate submerged glacial bedforms seafloor currents Cenomanian–Turonian Multibeam bathymetry geomorphometry ArcGIS filter seabed mapping coral reefs eastern Brazilian shelf digital terrain analysis multibeam spatial resolution multibeam multibeam sonar Timor Sea seafloor geomorphometry shelf-slope-rise terrain analysis seafloor mapping technologies spatial analysis Canary Basin paleobathymetry Bonaparte Basin pockmarks benthic habitats Malin Basin geographic object-based image analysis seafloor mapping standards and protocols GIS Bering Sea object segmentation Barents Sea bathymetry carbonate mound underwater acoustics integration artefacts multibeam echosounder domes global bathymetry Random Forests North Sea spatial prediction Glaciated Margin marine geology image segmentation shelf morphology Alaska paleoceanography confidence swath geometry volcanoes deglaciation Cretaceous DEM habitat mapping marine remote sensing reconstruction acoustic-seismic profiling canyons |
| ISBN |
9783038979555
3038979554 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346663203321 |
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Lecours Vincent
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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