Advances in Object and Activity Detection in Remote Sensing Imagery |
Autore | Ulhaq Anwaar |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (170 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
multi-camera system
space alignment UAV-assisted calibration cross-view matching spatiotemporal feature map view-invariant description air-to-ground synchronization tidal flat water YOLOv3 similarity algorithm for water extraction arbitrary-oriented object detection in satellite optical imagery adaptive dynamic refined single-stage transformer detector feature pyramid transformer dynamic feature refinement synthetic aperture radar (SAR) ship detection convolutional neural network (CNN) deep learning (DL) feature pyramid network (FPN) quad feature pyramid network (Quad-FPN) crowd estimation 3D simulation unmanned aerial vehicle synthetic crowd data invasive species thermal imaging habitat identification deep learning drone multiview semantic vegetation index urban forestry green view index (GVI) semantic segmentation urban vegetation RGB vegetation index |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576871603321 |
Ulhaq Anwaar
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
Autore | Heikkonen Jukka |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (168 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
target detection
multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557613903321 |
Heikkonen Jukka
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
Autore | Kim Byung-Gyu |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (392 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
closed circuit television (CCTV)
character order preserving cloud system privacy risk security video surveillance 3D depth map inter-component prediction MVD reversible data hiding texture wavelet analysis deep learning super-resolution deep neural architecture pattern mining multi-scale analysis reversible data hiding (RDH) image processing cloud computing public key cryptography (PKC) classification content-based image retrieval genetic algorithms image retrieval image classification Wiener-Granger causality block-compressive sensing (BCS) saliency error analysis flexible partitioning step-less adaptive sampling non-linear filters MCV and MLV filters de-noising noise removal edge preserving video coding motion estimation motion compensation affine motion model perspective motion model VVC quantization (signal) channel allocation scalable video coding convolution neural network scene recognition vector of locally aggregated descriptor weakly supervised attention map fire and smoke detection spatial and temporal wavelet transform coefficient of variation image steganalysis WOW UNIWARD ternary classification convolutional neural network (CNN) bayesian optimization gaussian process learning rate acauisition function machine learning moving object image stabilization object detection optical flow surveillance UAVs multiview high efficiency video coding ρ model bit allocation rate control image similarity frame complexity image deblurring generative adversarial network Wasserstein distance adversarial loss perceptual loss sentiment analysis social media lexicon image fusion multi-focus trimaps focus maps VisDrone2019 aerial imagery Faster R-CNN SSD RFCN YOLOv3 RetinaNet SNIPER CenterNet wrist-mounted DiverPAD electrical insulator capacitive touchscreen marine leisure activities convolutional neural networks pattern recognition low light image restoration denoise noise reduction deep leaning multiple feature dependency detection surveillance system |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557136003321 |
Kim Byung-Gyu
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Unmanned Aerial Vehicles : Platforms, Applications, Security and Services |
Autore | Calafate Carlos Tavares |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (174 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
computer vision
oil well working condition real-time detection sort unmanned aerial vehicle (UAV) YOLOv3 UAV autonomous landing vision-based ArduSim ArUco marker blind signature security MEC UAVs FANET 5G IoT Mutual authentication Privacy Traceable BAN logic coverage model human mobility model UAVs/drones positioning energy model UAS horizon undistortion FPGA sense-and-avoid LoRaWAN Unmanned Aerial Vehicles topology control virtual spring forces firefighting communications |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Unmanned Aerial Vehicles |
Record Nr. | UNINA-9910557698003321 |
Calafate Carlos Tavares
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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