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Remote sensing is being actively researched in the fields of environment, military and urban planning through technologies such as monitoring of natural climate phenomena on the earth, land cover classification, and object detection. Recently, satellites equipped with observation cameras of various resolutions were launched, and remote sensing images are acquired by various observation methods including cluster satellites. However, the atmospheric and environmental conditions present in the observed scene degrade the quality of images or interrupt the capture of the Earth's surface information. One method to overcome this is by generating synthetic images through image simulation. Synthetic images can be generated by using statistical or knowledge-based models or by using spectral and optic-based models to create a simulated image in place of the unobtained image at a required time. Various proposed methodologies will provide economical utility in the generation of image learning materials and time series data through image simulation. The 6 published articles cover various topics and applications central to Remote sensing image simulation. Although submission to this Special Issue is now closed, the need for further in-depth research and development related to image simulation of High-spatial and spectral resolution, sensor fusion and colorization remains.I would like to take this opportunity to express my most profound appreciation to the MDPI Book staff, the editorial team of Applied Sciences journal, especially Ms. Nimo Lang, the assistant editor of this Special Issue, talented authors, and professional reviewers.

Technology: general issues --- History of engineering & technology --- image fusion --- random forest regression --- SAR image --- panchromatic image --- high-resolution --- multi-beam LiDAR --- in situ self-calibration --- mobile mapping system --- 3D point cloud --- backpack-based mapping --- aerial orthoimage --- Sentinel-2 --- super-resolution --- image simulation --- residual U-Net --- interferometry --- remote sensing --- computational simulation --- denoising --- detection --- SAR imagery --- fusing region proposals --- KOMPSAT-3A --- strip --- sensor modeling --- RPCs --- mosaic --- matching --- discrepancy --- image fusion --- random forest regression --- SAR image --- panchromatic image --- high-resolution --- multi-beam LiDAR --- in situ self-calibration --- mobile mapping system --- 3D point cloud --- backpack-based mapping --- aerial orthoimage --- Sentinel-2 --- super-resolution --- image simulation --- residual U-Net --- interferometry --- remote sensing --- computational simulation --- denoising --- detection --- SAR imagery --- fusing region proposals --- KOMPSAT-3A --- strip --- sensor modeling --- RPCs --- mosaic --- matching --- discrepancy

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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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Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science.

LRF --- smartphone --- unmanned vehicle --- sensor fusion --- 2D laser scanner --- semantic enrichment --- Vitis vinifera --- indoor scenes --- terrestrial laser scanning --- vine size --- quadric fitting --- multi-group-step L-M optimization --- grammar --- MLS --- indoor topological localization --- trajectory fusion --- second order hidden Markov model --- room type tagging --- fingerprinting --- restoration --- laser scanning --- map management --- Lidar localization system --- point clouds --- binary vocabulary --- self-calibration --- 3D processing --- cultural heritage --- encoder --- category matching --- indoor mapping --- convolutional neural network (CNN) --- tunnel cross section --- visual positioning --- enhanced RANSAC --- segmentation-based feature extraction --- image retrieval --- handheld --- crowdsourcing trajectory --- visual landmark sequence --- indoor localization --- mobile mapping --- rapid relocation --- sensors configurations --- precision agriculture --- 3D digitalization --- mobile laser scanning --- robust statistical analysis --- plant vigor --- motion estimation --- visual simultaneous localization and mapping --- dynamic environment --- Bayesian inference --- automated database construction --- portable mobile mapping system --- SLAM --- small-scale vocabulary --- ORB-SLAM2 --- LiDAR --- IMMS --- point cloud --- optical sensors --- tunnel central axis --- constrained nonlinear least-squares problem --- 3D point clouds --- wearable mobile laser system --- geometric features --- 2D laser range-finder --- RGB-D camera --- OctoMap

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The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.

Technology: general issues --- microwave staring correlated imaging (MSCI) --- gain–phase errors --- strip --- self-calibration --- distributed MIMO radar --- target localization --- double-sided bistatic range (BR) --- microwave staring correlated imaging --- unsteady aerostat platform --- motion parameter fitting --- position error --- radar imaging --- synthetic aperture radar --- compressed sensing --- sparse reconstruction --- regularization --- passive forward scattering radar --- chirp rate estimation --- passive radar --- forward scattering radar --- radar measurements --- time-frequency analysis --- bistatic synthetic aperture radar (SAR) --- hyperbolic approximation --- phase compensation --- modified omega-K --- ground-penetrating radar --- noise suppression --- singular value decomposition --- Hankel matrix --- window length optimization --- synthetic aperture radar (SAR) --- high resolution wide swath (HRWS) --- azimuth multichannel reconstruction --- phase center adaptation --- false targets suppression --- damped exponential (DE) model --- inverse synthetic aperture radar (ISAR) --- radar signatures --- state–space approach (SSA) --- sparse representation --- polarimetric --- SAR tomography --- MIMO radar --- noise radar --- radar signal processing techniques --- analogue correlation --- modern radar applications --- delay line --- high pulse repetition frequency (HPRF) --- random frequency hopping (RFH) --- hypersonic aircraft --- SAR --- Synthetic Aperture Radar --- ASIFT --- Despeckling Filter --- Navigation --- Structure from Motion --- Iterative Closest Point --- radar tomography --- compressive sensing --- bistatic radar --- parameter-refined orthogonal matching pursuit (PROMP) --- orthogonal matching pursuit (OMP) --- k-space tomography --- narrowband radar --- off-grid compressive sensing --- slow-time k-space --- spatial frequency --- Doppler radar tomography --- k-space augmentation --- high-resolution narrowband radar --- multiband processing --- bandwidth stitching --- multi-scale representation learning (MSRL) --- pyramid pooling module (PPM) --- compact depth-wise separable convolution (CSeConv) --- convolution auto-encoder (CAE) --- object classification --- CARABAS II --- ground scene prediction --- image stack --- multi-pass --- SAR images --- moving targets --- inverse SAR (ISAR) --- motion compensation --- hybrid SAR/ISAR --- improved rank-one phase estimation (IROPE) --- Gaofen-3 (GF-3) --- assive radar --- time-frequency reassignment --- microwave staring correlated imaging (MSCI) --- gain–phase errors --- strip --- self-calibration --- distributed MIMO radar --- target localization --- double-sided bistatic range (BR) --- microwave staring correlated imaging --- unsteady aerostat platform --- motion parameter fitting --- position error --- radar imaging --- synthetic aperture radar --- compressed sensing --- sparse reconstruction --- regularization --- passive forward scattering radar --- chirp rate estimation --- passive radar --- forward scattering radar --- radar measurements --- time-frequency analysis --- bistatic synthetic aperture radar (SAR) --- hyperbolic approximation --- phase compensation --- modified omega-K --- ground-penetrating radar --- noise suppression --- singular value decomposition --- Hankel matrix --- window length optimization --- synthetic aperture radar (SAR) --- high resolution wide swath (HRWS) --- azimuth multichannel reconstruction --- phase center adaptation --- false targets suppression --- damped exponential (DE) model --- inverse synthetic aperture radar (ISAR) --- radar signatures --- state–space approach (SSA) --- sparse representation --- polarimetric --- SAR tomography --- MIMO radar --- noise radar --- radar signal processing techniques --- analogue correlation --- modern radar applications --- delay line --- high pulse repetition frequency (HPRF) --- random frequency hopping (RFH) --- hypersonic aircraft --- SAR --- Synthetic Aperture Radar --- ASIFT --- Despeckling Filter --- Navigation --- Structure from Motion --- Iterative Closest Point --- radar tomography --- compressive sensing --- bistatic radar --- parameter-refined orthogonal matching pursuit (PROMP) --- orthogonal matching pursuit (OMP) --- k-space tomography --- narrowband radar --- off-grid compressive sensing --- slow-time k-space --- spatial frequency --- Doppler radar tomography --- k-space augmentation --- high-resolution narrowband radar --- multiband processing --- bandwidth stitching --- multi-scale representation learning (MSRL) --- pyramid pooling module (PPM) --- compact depth-wise separable convolution (CSeConv) --- convolution auto-encoder (CAE) --- object classification --- CARABAS II --- ground scene prediction --- image stack --- multi-pass --- SAR images --- moving targets --- inverse SAR (ISAR) --- motion compensation --- hybrid SAR/ISAR --- improved rank-one phase estimation (IROPE) --- Gaofen-3 (GF-3) --- assive radar --- time-frequency 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The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.

microwave staring correlated imaging (MSCI) --- gain–phase errors --- strip --- self-calibration --- distributed MIMO radar --- target localization --- double-sided bistatic range (BR) --- microwave staring correlated imaging --- unsteady aerostat platform --- motion parameter fitting --- position error --- radar imaging --- synthetic aperture radar --- compressed sensing --- sparse reconstruction --- regularization --- passive forward scattering radar --- chirp rate estimation --- passive radar --- forward scattering radar --- radar measurements --- time-frequency analysis --- bistatic synthetic aperture radar (SAR) --- hyperbolic approximation --- phase compensation --- modified omega-K --- ground-penetrating radar --- noise suppression --- singular value decomposition --- Hankel matrix --- window length optimization --- synthetic aperture radar (SAR) --- high resolution wide swath (HRWS) --- azimuth multichannel reconstruction --- phase center adaptation --- false targets suppression --- damped exponential (DE) model --- inverse synthetic aperture radar (ISAR) --- radar signatures --- state–space approach (SSA) --- sparse representation --- polarimetric --- SAR tomography --- MIMO radar --- noise radar --- radar signal processing techniques --- analogue correlation --- modern radar applications --- delay line --- high pulse repetition frequency (HPRF) --- random frequency hopping (RFH) --- hypersonic aircraft --- SAR --- Synthetic Aperture Radar --- ASIFT --- Despeckling Filter --- Navigation --- Structure from Motion --- Iterative Closest Point --- radar tomography --- compressive sensing --- bistatic radar --- parameter-refined orthogonal matching pursuit (PROMP) --- orthogonal matching pursuit (OMP) --- k-space tomography --- narrowband radar --- off-grid compressive sensing --- slow-time k-space --- spatial frequency --- Doppler radar tomography --- k-space augmentation --- high-resolution narrowband radar --- multiband processing --- bandwidth stitching --- multi-scale representation learning (MSRL) --- pyramid pooling module (PPM) --- compact depth-wise separable convolution (CSeConv) --- convolution auto-encoder (CAE) --- object classification --- CARABAS II --- ground scene prediction --- image stack --- multi-pass --- SAR images --- moving targets --- inverse SAR (ISAR) --- motion compensation --- hybrid SAR/ISAR --- improved rank-one phase estimation (IROPE) --- Gaofen-3 (GF-3) --- assive radar --- time-frequency reassignment