| _ | smoke | _ |
|---|
| 3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire | smoke | Detection |
| 3D video semantic segmentation for wildfire | smoke | |
| Adaptive estimation of visual | smoke | detection parameters based on spatial data and fire risk index |
| Application of Panoramic Annular Lens for Motion Analysis Tasks: Surveillance and | smoke | Detection |
| Automated Stereo Retrieval of | smoke | Plume Injection Heights and Retrieval of Smoke Plume Masks From AATSR and Their Assessment With CALIPSO and MISR |
| Automated Stereo Retrieval of | smoke | Plume Injection Heights and Retrieval of Smoke Plume Masks From AATSR and Their Assessment With CALIPSO and MISR |
| Automatic | smoke | Classification in Endoscopic Video |
| Characterization of Stratospheric | smoke | Particles over the Antarctica by Remote Sensing Instruments |
| Characterization of Wildfire | smoke | over Complex Terrain Using Satellite Observations, Ground-Based Observations, and Meteorological Models |
| Characterizing | smoke | Haze Events in Australia Using a Hybrid Approach of Satellite-Based Aerosol Optical Depth and Chemical Transport Modeling |
| Co-occurrence matching of local binary patterns for improving visual adaption and its application to | smoke | recognition |
| Color Channel-Based | smoke | Removal Algorithm Using Machine Learning for Static Images |
| comparison of classification algorithms for the identification of | smoke | plumes from satellite images, A |
| Compressed dual-channel neural network with application to image-based | smoke | detection |
| Convolutional neural network for | smoke | and fire semantic segmentation |
| Convolutional Neural Networks Based on Multi-Scale Additive Merging Layers for Visual | smoke | Recognition |
| Cubic-cross convolutional attention and count prior embedding for | smoke | segmentation |
| De- | smoke | GCN: Generative Cooperative Networks for Joint Surgical Smoke Detection and Removal |
| Deep Dual-Channel Neural Network for Image-Based | smoke | Detection |
| Deep generative | smoke | simulator: connecting simulated and real data |
| Deep | smoke | Removal from Minimally Invasive Surgery Videos |
| Dense Motion Estimation for | smoke | |
| dense multi-scale context and asymmetric pooling embedding network for | smoke | segmentation, A |
| De | smoke | Net: A Two-Stage Smoke Removal Pipeline Based on Self-Attentive Feature Consensus and Multi-Level Contrastive Regularization |
| Detection and Separation of | smoke | From Single Image Frames |
| Detection of Fire | smoke | Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions |
| Detection of | smoke | from Straw Burning Using Sentinel-2 Satellite Data and an Improved YOLOv5s Algorithm |
| Developing an Aircraft-Based Angular Distribution Model of Solar Reflection from Wildfire | smoke | to Aid Satellite-Based Radiative Flux Estimation |
| DHSGAN: An End to End Dehazing Network for Fog and | smoke | |
| double mapping framework for extraction of shape-invariant features based on multi-scale partitions with AdaBoost for video | smoke | detection, A |
| Dust and | smoke | Detection for Multi-Channel Imagers |
| Early fire and | smoke | detection based on colour features and motion analysis |
| Early Wildfire | smoke | Detection in Videos |
| Efficient Detection of Forest Fire | smoke | in UAV Aerial Imagery Based on an Improved Yolov5 Model and Transfer Learning |
| EFFNet: Enhanced Feature Foreground Network for Video | smoke | Source Prediction and Detection |
| Encoding pairwise Hamming distances of Local Binary Patterns for visual | smoke | recognition |
| enhanced relation-aware global-local attention network for escaping human detection in indoor | smoke | scenarios, An |
| Extracting Relevant Features from Videos for a Robust | smoke | Detection |
| fast accumulative motion orientation model based on integral image for video | smoke | detection, A |
| FIgLib & | smoke | yNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection |
| Fire and | smoke | detection in video with optimal mass transport based optical flow and neural networks |
| Fire and | smoke | Dynamic Textures Characterization by Applying Periodicity Index Based on Motion Features |
| Forest Fire | smoke | Detection Using Back-Propagation Neural Network Based on MODIS Data |
| Fusing texture, edge and line features for | smoke | recognition |
| Gated Recurrent Network With Dual Classification Assistance for | smoke | Semantic Segmentation, A |
| Global Analysis of Wildfire | smoke | Injection Heights Derived from Space-Based Multi-Angle Imaging, A |
| Higher Order Linear Dynamical Systems for | smoke | Detection in Video Surveillance Applications |
| Human and Object Detection in | smoke | -filled Space using Millimeter-wave radar based Measurement System |
| Image based | smoke | detection with local Hurst exponent |
| Image-Based | smoke | Detection in Laparoscopic Videos |
| Impact of | smoke | Plumes Transport on Air Quality in Sydney during Extensive Bushfires (2019) in New South Wales, Australia Using Remote Sensing and Ground Data |
| Investigating the Impact of Using IR Bands on Early Fire | smoke | Detection from Landsat Imagery with a Lightweight CNN Model |
| Learning Discriminative Feature Representation for Estimating | smoke | Density of Smoky Vehicle Rear |
| Learning discriminative feature representation with pixel-level supervision for forest | smoke | recognition |
| Lidar Optical and Microphysical Characterization of Tropospheric and Stratospheric Fire | smoke | Layers Due to Canadian Wildfires Passing over Naples (Italy) |
| lightweight network for | smoke | semantic segmentation, A |
| LMDFS: A Lightweight Model for Detecting Forest Fire | smoke | in UAV Images Based on YOLOv7 |
| MARS-GAN: Multilevel-Feature-Learning Attention-Aware Based Generative Adversarial Network for Removing Surgical | smoke | |
| Methodology for Lidar Monitoring of Biomass Burning | smoke | in Connection with the Land Cover |
| MISR Stereo Heights of Grassland Fire | smoke | Plumes in Australia |
| Multimodal Wildland Fire | smoke | Detection |
| Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire | smoke | Detection |
| New Wildfire Watchdog: Alerts About Forest Fires Shouldn't Depend on Pets Smelling | smoke | . We Need Smart Infrastructure, and that Needs Zero-Power Sensors, A |
| novel | smoke | detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments, A |
| novel, integrated | smoke | simulation design method supporting local projection and guiding control over adaptive grids, A |
| Numerical Assessment of Downward Incoming Solar Irradiance in | smoke | Influenced Regions: A Case Study in Brazilian Amazon and Cerrado |
| Parallel Approach to High-Precision | smoke | Simulation Based on a Multi-GPU Framework |
| Particle Detection and Classification in Photoelectric | smoke | Detectors Using Image Histogram Features |
| Preliminary Investigation on Stationarity of Dynamic | smoke | Texture and Dynamic Fire Texture Based on Motion Coherent Metric |
| Real-Time Detection of Full-Scale Forest Fire | smoke | Based on Deep Convolution Neural Network |
| Real-time image | smoke | detection using staircase searching-based dual threshold AdaBoost and dynamic analysis |
| Real-Time Simulation and Rendering of 3D | smoke | on GPU Programme |
| Real-time | smoke | detection using texture and color features |
| Real-time | smoke | removal for the surveillance images under fire scenario |
| Real-time | smoke | simulation based on vorticity preserving lattice Boltzmann method |
| Reconstructing static scene viewed through | smoke | using video |
| Reliable | smoke | detection in the domains of image energy and color |
| Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire | smoke | Using Smoke-Unet and Landsat-8 Imagery |
| Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire | smoke | Using Smoke-Unet and Landsat-8 Imagery |
| Silhouette-based multi-sensor | smoke | detection: Coverage analysis of moving object silhouettes in thermal and visual registered images |
| Single Image | smoke | Detection |
| smoke | Detection Based on a Semi-supervised Clustering Model |
| smoke | detection for static cameras |
| smoke | Detection from Himawari-8 Satellite Data over Kalimantan Island Using Multilayer Perceptrons |
| smoke | detection in ship engine rooms based on video images |
| smoke | Detection in Video Surveillance: A MoG Model in the Wavelet Domain |
| smoke | detection in video surveillance: The use of ViSOR (video surveillance on-line repository) |
| smoke | Detection in Video: An Image Separation Approach |
| smoke | from Forest Fires, Smoke from Wildfires |
| smoke | from Forest Fires, Smoke from Wildfires |
| smoke | vehicle detection based on multi-feature fusion and hidden Markov model |
| smoke | vehicle detection based on robust codebook model and robust volume local binary count patterns |
| smoke | Vehicle Detection Based on Spatiotemporal Bag-Of-Features and Professional Convolutional Neural Network |
| smoke | , Mirrors, and Manufacturable Displays |
| smoke | -Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation |
| smoke | -Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation |
| smoke | : Single-Stage Monocular 3D Object Detection via Keypoint Estimation |
| smoke | Net: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention |
| smoke | Pose: End-to-End Smoke Keypoint Detection |
| Spatiotemporal bag-of-features for early wildfire | smoke | detection |
| Surveillance Systems for | smoke | Detection, Aerial Image Smoke Detection |
| Surveillance Systems for | smoke | Detection, Aerial Image Smoke Detection |
| survey on vision-based outdoor | smoke | detection techniques for environmental safety, A |
| Target segmentation of industrial | smoke | image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm |
| Vertical Profiles of Aerosols Induced by Dust, | smoke | , and Fireworks in the Cold Region of Northeast China |
| Video driven fire spread forecasting (f) using multi-modal LWIR and visual flame and | smoke | data |
| Video | smoke | Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation |
| Video | smoke | Removal Based on Smoke Imaging Model and Space-Time Pixel Compensation |
| Viewing Scenes Occluded by | smoke | |
| Vision based | smoke | detection system using image energy and color information |
| Visual | smoke | Detection |
| Visual spatial-context based wildfire | smoke | sensor |
| Wave-Shaped Deep Neural Network for | smoke | Density Estimation, A |
| Wavelet based | smoke | detection method with RGB Contrast-image and shape constrain |
| Weakly Supervised Fire and | smoke | Segmentation in Forest Images with CAM and CRF |
| Wildfire | smoke | Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation |
| Wildfire | smoke | Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation |
| Wildfire | smoke | detection using spatiotemporal bag-of-features of smoke |
| Wildfire | smoke | detection using spatiotemporal bag-of-features of smoke |
| Wildfire | smoke | Particle Properties and Evolution, from Space-Based Multi-Angle Imaging |
| Wildfire | smoke | Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
121 for smoke