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This book focuses on fundamental and applied research on geo-information technology, notably optical and radar remote sensing and algorithm improvements, and their applications in environmental monitoring. This Special Issue presents ten high-quality research papers covering up-to-date research in land cover change and desertification analyses, geo-disaster risk and damage evaluation, mining area restoration assessments, the improvement and development of algorithms, and coastal environmental monitoring and object targeting. The purpose of this Special Issue is to promote exchanges, communications and share the research outcomes of scientists worldwide and to bridge the gap between scientific research and its applications for advancing and improving society.
Research & information: general --- earthquake --- damaged groups of buildings --- classification --- remote sensing images --- Convolution Neural Network (CNN) --- block vector data --- shoreline change --- landsat --- planet scope --- coastline --- morphological changes --- building extraction --- improved anchor-free instance segmentation --- high-resolution remote sensing images --- deep learning --- land use/land cover (LULC) --- GF-6 WFV --- object-oriented --- change detection --- double constraints --- REE mines --- mining and restoration assessment indicators (MRAIs) --- damage --- time trajectory --- effectiveness of management --- aeolian process --- desertification --- multi-sensor fusion --- interferometric SAR --- time-series analysis --- mussel farming --- high-resolution image --- transitional water management --- environmental pollution --- open source software --- synthetic aperture radar (SAR) --- target --- sea surface --- multiple scattering --- geo-hazard mapping --- Gaofen-1 satellite --- land cover --- environmental factors --- susceptibility --- post-classification differencing --- generalized difference vegetation index (GDVI) --- multiple linear regression --- logistic regression --- n/a
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The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications.
compound building reconstruction --- LiDAR --- point clouds --- semantic decomposition --- structure from motion --- match pair --- cycle consistency inference --- repetitive structure --- very short baseline --- high-resolution remote sensing images --- building extraction --- multiscale features --- aggregate semantic information --- feature pyramid --- spatial eight-quadrant kernel convolution --- 3D point cloud --- semantic segmentation --- indoor scene --- wide-baseline stereo image --- deep learning --- convolutional neural network --- affine invariant feature --- image matching --- photogrammetric mesh model --- building façade --- 3D reconstruction --- least square fitting --- single image super-resolution --- lightweight image super-resolution --- U-shaped residual network --- dense shortcut --- effective feature distillation --- high-frequency loss --- power lines --- UAV inspection --- red-black propagation --- depth map fusion --- PatchMatch --- digital photogrammetry --- camera self-calibration --- Brown model --- polynomial model --- aerial triangulation --- GF-7 image --- building footprint --- building height --- multi-view --- point cloud --- multi-view reconstruction --- detail preserving --- depth estimation --- surface meshing --- texture mapping --- coplanar extraction --- deep convolutional neural network --- geometric topology --- homography matrix --- airborne LiDAR --- coal mine --- surface subsidence --- deformation detection --- digital subsidence model --- n/a --- building façade
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The reprint focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches and its wide applications in signal processing have been witnessed in remote sensing. The new developments in remote sensing have led to a high resolution monitoring of ground on a global scale, giving a huge amount of ground observation data. Thus, artificial intelligence-based deep learning approaches and its applied signal processing are required for remote sensing. These approaches can be universal or specific tools of artificial intelligence, including well known neural networks, regression methods, decision trees, etc. It is worth compiling the various cutting-edge techniques and reporting on their promising applications.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- pine wilt disease dataset --- GIS application visualization --- test-time augmentation --- object detection --- hard negative mining --- video synthetic aperture radar (SAR) --- moving target --- shadow detection --- deep learning --- false alarms --- missed detections --- synthetic aperture radar (SAR) --- on-board --- ship detection --- YOLOv5 --- lightweight detector --- remote sensing image --- spectral domain translation --- generative adversarial network --- paired translation --- synthetic aperture radar --- ship instance segmentation --- global context modeling --- boundary-aware box prediction --- land-use and land-cover --- built-up expansion --- probability modelling --- landscape fragmentation --- machine learning --- support vector machine --- frequency ratio --- fuzzy logic --- artificial intelligence --- remote sensing --- interferometric phase filtering --- sparse regularization (SR) --- deep learning (DL) --- neural convolutional network (CNN) --- semantic segmentation --- open data --- building extraction --- unet --- deeplab --- classifying-inversion method --- AIS --- atmospheric duct --- ship detection and classification --- rotated bounding box --- attention --- feature alignment --- weather nowcasting --- ResNeXt --- radar data --- spectral-spatial interaction network --- spectral-spatial attention --- pansharpening --- UAV visual navigation --- Siamese network --- multi-order feature --- MIoU --- imbalanced data classification --- data over-sampling --- graph convolutional network --- semi-supervised learning --- troposcatter --- tropospheric turbulence --- intercity co-channel interference --- concrete bridge --- visual inspection --- defect --- deep convolutional neural network --- transfer learning --- interpretation techniques --- weakly supervised semantic segmentation --- n/a
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The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications.
Technology: general issues --- History of engineering & technology --- compound building reconstruction --- LiDAR --- point clouds --- semantic decomposition --- structure from motion --- match pair --- cycle consistency inference --- repetitive structure --- very short baseline --- high-resolution remote sensing images --- building extraction --- multiscale features --- aggregate semantic information --- feature pyramid --- spatial eight-quadrant kernel convolution --- 3D point cloud --- semantic segmentation --- indoor scene --- wide-baseline stereo image --- deep learning --- convolutional neural network --- affine invariant feature --- image matching --- photogrammetric mesh model --- building façade --- 3D reconstruction --- least square fitting --- single image super-resolution --- lightweight image super-resolution --- U-shaped residual network --- dense shortcut --- effective feature distillation --- high-frequency loss --- power lines --- UAV inspection --- red-black propagation --- depth map fusion --- PatchMatch --- digital photogrammetry --- camera self-calibration --- Brown model --- polynomial model --- aerial triangulation --- GF-7 image --- building footprint --- building height --- multi-view --- point cloud --- multi-view reconstruction --- detail preserving --- depth estimation --- surface meshing --- texture mapping --- coplanar extraction --- deep convolutional neural network --- geometric topology --- homography matrix --- airborne LiDAR --- coal mine --- surface subsidence --- deformation detection --- digital subsidence model --- n/a --- building façade
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The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications.
Technology: general issues --- History of engineering & technology --- compound building reconstruction --- LiDAR --- point clouds --- semantic decomposition --- structure from motion --- match pair --- cycle consistency inference --- repetitive structure --- very short baseline --- high-resolution remote sensing images --- building extraction --- multiscale features --- aggregate semantic information --- feature pyramid --- spatial eight-quadrant kernel convolution --- 3D point cloud --- semantic segmentation --- indoor scene --- wide-baseline stereo image --- deep learning --- convolutional neural network --- affine invariant feature --- image matching --- photogrammetric mesh model --- building façade --- 3D reconstruction --- least square fitting --- single image super-resolution --- lightweight image super-resolution --- U-shaped residual network --- dense shortcut --- effective feature distillation --- high-frequency loss --- power lines --- UAV inspection --- red-black propagation --- depth map fusion --- PatchMatch --- digital photogrammetry --- camera self-calibration --- Brown model --- polynomial model --- aerial triangulation --- GF-7 image --- building footprint --- building height --- multi-view --- point cloud --- multi-view reconstruction --- detail preserving --- depth estimation --- surface meshing --- texture mapping --- coplanar extraction --- deep convolutional neural network --- geometric topology --- homography matrix --- airborne LiDAR --- coal mine --- surface subsidence --- deformation detection --- digital subsidence model --- n/a --- building façade
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This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.
Technology: general issues --- emotion recognition --- brain computer interface --- bag of deep features --- continuous wavelet transform --- face image analysis --- deep learning --- face parsing --- facial attributes classification --- building extraction --- convolutional neural networks --- mask R-CNN --- high-resolution remote sensing image --- autoencoders --- semi-supervised learning --- computer vision --- pathology --- epidermis --- skin --- image processing --- generative models --- generative adversarial net --- depth map --- super-resolution --- guidance --- residual network --- channel interaction --- pose estimation --- body orientation --- multi-person --- multi-task --- surface defect detection --- active learning --- generative adversarial network --- presentation attack detection --- artificial image generation --- presentation attack face images --- ultrasound image --- malignant thyroid nodule --- artificial intelligence --- weighted binary cross-entropy loss --- infrared circumferential scanning system --- target recognition --- deep convolutional neural networks --- data augmentation --- transfer learning --- bounding box regression --- loss function --- medical image fusion --- convolutional neural network --- image pyramid --- multi-scale decomposition --- armature --- surface inspection --- action recognition --- social robotics --- common spatial patterns --- vehicle recognition --- multi resolution network --- optimization --- semantic segmentation --- global context --- local context --- fully convolutional networks --- image-to-image conversion --- image de-raining --- label to photos --- edges to photos --- generative adversarial network (GAN) --- remote sensing --- helicopter footage --- crowd counting --- multitask learning --- normalized cross-correlation --- Marr wavelets --- entropy and response --- graph matching --- RANSAC --- GC–LSTM model --- typhoon --- satellite image --- prediction system --- monocular depth estimation --- feature distillation --- joint attention --- finger-vein recognition --- camera position --- finger position --- lighting --- unobserved database --- heterogeneous database --- domain adaptation --- cycle-consistent adversarial networks --- SDUMLA-HMT-DB --- HKPolyU-DB --- biometrics --- face recognition --- single-sample face recognition --- binarized statistical image features --- K-nearest neighbors --- sparse coding --- fast approximation --- homotopy iterative hard thresholding --- object recognition --- character recognition --- orthogonal polynomials --- orthogonal moments --- Krawtchouk polynomials --- Tchebichef polynomials --- support vector machine
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This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.
Technology: general issues --- emotion recognition --- brain computer interface --- bag of deep features --- continuous wavelet transform --- face image analysis --- deep learning --- face parsing --- facial attributes classification --- building extraction --- convolutional neural networks --- mask R-CNN --- high-resolution remote sensing image --- autoencoders --- semi-supervised learning --- computer vision --- pathology --- epidermis --- skin --- image processing --- generative models --- generative adversarial net --- depth map --- super-resolution --- guidance --- residual network --- channel interaction --- pose estimation --- body orientation --- multi-person --- multi-task --- surface defect detection --- active learning --- generative adversarial network --- presentation attack detection --- artificial image generation --- presentation attack face images --- ultrasound image --- malignant thyroid nodule --- artificial intelligence --- weighted binary cross-entropy loss --- infrared circumferential scanning system --- target recognition --- deep convolutional neural networks --- data augmentation --- transfer learning --- bounding box regression --- loss function --- medical image fusion --- convolutional neural network --- image pyramid --- multi-scale decomposition --- armature --- surface inspection --- action recognition --- social robotics --- common spatial patterns --- vehicle recognition --- multi resolution network --- optimization --- semantic segmentation --- global context --- local context --- fully convolutional networks --- image-to-image conversion --- image de-raining --- label to photos --- edges to photos --- generative adversarial network (GAN) --- remote sensing --- helicopter footage --- crowd counting --- multitask learning --- normalized cross-correlation --- Marr wavelets --- entropy and response --- graph matching --- RANSAC --- GC–LSTM model --- typhoon --- satellite image --- prediction system --- monocular depth estimation --- feature distillation --- joint attention --- finger-vein recognition --- camera position --- finger position --- lighting --- unobserved database --- heterogeneous database --- domain adaptation --- cycle-consistent adversarial networks --- SDUMLA-HMT-DB --- HKPolyU-DB --- biometrics --- face recognition --- single-sample face recognition --- binarized statistical image features --- K-nearest neighbors --- sparse coding --- fast approximation --- homotopy iterative hard thresholding --- object recognition --- character recognition --- orthogonal polynomials --- orthogonal moments --- Krawtchouk polynomials --- Tchebichef polynomials --- support vector machine
Choose an application
This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.
emotion recognition --- brain computer interface --- bag of deep features --- continuous wavelet transform --- face image analysis --- deep learning --- face parsing --- facial attributes classification --- building extraction --- convolutional neural networks --- mask R-CNN --- high-resolution remote sensing image --- autoencoders --- semi-supervised learning --- computer vision --- pathology --- epidermis --- skin --- image processing --- generative models --- generative adversarial net --- depth map --- super-resolution --- guidance --- residual network --- channel interaction --- pose estimation --- body orientation --- multi-person --- multi-task --- surface defect detection --- active learning --- generative adversarial network --- presentation attack detection --- artificial image generation --- presentation attack face images --- ultrasound image --- malignant thyroid nodule --- artificial intelligence --- weighted binary cross-entropy loss --- infrared circumferential scanning system --- target recognition --- deep convolutional neural networks --- data augmentation --- transfer learning --- bounding box regression --- loss function --- medical image fusion --- convolutional neural network --- image pyramid --- multi-scale decomposition --- armature --- surface inspection --- action recognition --- social robotics --- common spatial patterns --- vehicle recognition --- multi resolution network --- optimization --- semantic segmentation --- global context --- local context --- fully convolutional networks --- image-to-image conversion --- image de-raining --- label to photos --- edges to photos --- generative adversarial network (GAN) --- remote sensing --- helicopter footage --- crowd counting --- multitask learning --- normalized cross-correlation --- Marr wavelets --- entropy and response --- graph matching --- RANSAC --- GC–LSTM model --- typhoon --- satellite image --- prediction system --- monocular depth estimation --- feature distillation --- joint attention --- finger-vein recognition --- camera position --- finger position --- lighting --- unobserved database --- heterogeneous database --- domain adaptation --- cycle-consistent adversarial networks --- SDUMLA-HMT-DB --- HKPolyU-DB --- biometrics --- face recognition --- single-sample face recognition --- binarized statistical image features --- K-nearest neighbors --- sparse coding --- fast approximation --- homotopy iterative hard thresholding --- object recognition --- character recognition --- orthogonal polynomials --- orthogonal moments --- Krawtchouk polynomials --- Tchebichef polynomials --- support vector machine
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