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Semi-automated DIRSIG scene modeling from 3D LIDAR and passive imaging sources

S. R. Lach, S. D. Brown, J. P. Kerekes, Gary W. Kamerman, Monte D. Turner
2006 Laser Radar Technology and Applications XI  
The Digital Imaging and Remote Sensing Image Generation (DIRSIG) model is an established, first-principles based scene simulation tool that produces synthetic multispectral and hyperspectral images from  ...  Through a fusion of 3D LIDAR data with passive imagery, we are working to semi-automate several of the required tasks in the DIRSIG scene creation process.  ...  ACKNOWLEDGEMENTS This work has been supported in part by the NGA under University Research Initiative HM1582-05-1-2005, "Automated Imagery Analysis and Scene Modeling."  ... 
doi:10.1117/12.666096 fatcat:dlezdxysjnfovfptxv2tzxfj3m

Table of contents

2020 IEEE Transactions on Geoscience and Remote Sensing  
The individual structural components of maize can be accurately extracted from terrestrial lidar data with the aid of convolutional neural network.  ...  Bruzzone, and A. Plaza 2516 Multiscale Intensity Propagation to Remove Multiplicative Stripe Noise From Remote Sensing Images ................ ............................................... H.  ... 
doi:10.1109/tgrs.2020.2973519 fatcat:pus5uerid5ggdhfoxc5lts3p6y

Fusion of multiple image types for the creation of radiometrically-accurate synthetic scenes

Stephen R. Lach
2009 Journal of Applied Remote Sensing  
The Digital Imaging and Remote Sensing Image Generation (DIRSIG) model is an established, first-principles based scene simulation tool that produces synthetic multi-spectral and hyperspectral images from  ...  Through a fusion of 3D lidar data with passive imagery, we have been able to partially-automate many of the required tasks in the creation of high-resolution urban DIRSIG scenes.  ...  The authors also wish thank the Leica Corporation for providing lidar data used in this work, Merrick for assistance in obtaining their MARS lidar processing/viewing software and the many members of the  ... 
doi:10.1117/1.3075896 fatcat:6x7jakiofrdx7ofikxb2ekroua

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Lopez, J.F  ...  ., +, Floods Comparison of Satellite Passive Microwave With Modeled Snow Water Equivalent Estimates in the Red River of the North Basin.  ...  ., +, JSTARS July 2019 2288-2298 Intensity Estimation of Tropical Cyclones Using the Relevance Vector Machine From Infrared Satellite Image Data.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

A COMPARATIVE ASSESSMENT OF REMOTE SENSING IMAGING TECHNIQUES: OPTICAL, SAR AND LIDAR

S. Agrawal, G. B. Khairnar
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Over the time, significant innovations and improvements have been made in the active remote sensing which resulted in the form of sophisticated imaging techniques like Synthetic Aperture RADAR (SAR) and  ...  Optical, SAR and LiDAR techniques are first summarized and then they are compared on the basis of technical specification and working.  ...  Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data.  ... 
doi:10.5194/isprs-archives-xlii-5-w3-1-2019 fatcat:zodxnz2cfrgkfkb7qhhtqu3hsi

Table of contents

2020 IEEE Transactions on Geoscience and Remote Sensing  
Kim, and M.-H. Ka 5042 Comparison of the Sentinel-1B Synthetic Aperture Radar With Airborne Microwave Sensors in an Extra-Tropical Cyclone ..........................................  ...  of Hyperspectral and LiDAR Data Using Coupled CNNs ..................................................... ..................................................................  ... 
doi:10.1109/tgrs.2020.2998593 fatcat:6li5sdy3nrfnxbveudd77nj5ay

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS June 2015 3005-3021 Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes.  ...  ., +, TGRS Oct. 2015 5760-5773 + Check author entry for coauthors Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS 2020 1097-1108 Comparison of Ocean Surface Rain Rates From the Global Precipitation Mission and the Meteosat Second-Generation Satellite for Wind Scatterometer Quality Control.  ...  Karunathilake, A., +, JSTARS 2020 3806-3815 Comparison of Ocean Surface Rain Rates From the Global PrecipitationMission and the Meteosat Second-Generation Satellite for Wind Scatterometer Quality Control  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Tien Pham, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, Daniel Friess
2019 Remote Sensing  
A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data.  ...  sensing applications for monitoring mangroves, and addresses the limitations of these studies.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11030230 fatcat:xgxftojh5vdfhgkpqcwehgbkwa

Review on Active and Passive Remote Sensing Techniques for Road Extraction

Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen (+1 others)
2021 Remote Sensing  
In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyperspectral images, synthetic aperture radar images  ...  Digital maps of road networks are a vital part of digital cities and intelligent transportation.  ...  Acknowledgments: The authors would like to thank the contributions of the editor and reviewers. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13214235 fatcat:iv4mot6n6vayhmnelwsz4okiym

A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons

Shridhar D. Jawak, Somashekhar S. Vadlamani, Alvarinho J. Luis
2015 Advances in Remote Sensing  
Passive RS methods are based on passive satellite sensors, which detect sunlight (natural source of light) radiation reflected from the earth and thermal radiation in the visible and infrared portion of  ...  and comparisons.  ...  Rajan, Director, NCAOR for his encouragement and motivation of this research. We acknowledge Dr. T. P. Singh (Director, SIT), Dr.  ... 
doi:10.4236/ars.2015.42013 fatcat:owffhg4o3bcipba3vm4vmpsfyy

Quantifying Forest Biomass Carbon Stocks From Space

Pedro Rodríguez-Veiga, James Wheeler, Valentin Louis, Kevin Tansey, Heiko Balzter
2017 Current Forestry Reports  
Purpose of Review This review presents cutting-edge methods and current and forthcoming satellite remote sensing technologies to map aboveground biomass (AGB).  ...  Recent Findings The monitoring of carbon stored in living AGB of forest is of key importance to understand the global carbon cycle and for the functioning of international economic mechanisms aiming to  ...  Aside from a long series of passive optical remote sensors, researchers and practitioners can also use active sensors such as Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR).  ... 
doi:10.1007/s40725-017-0052-5 fatcat:3igema6jp5gg7p6n4s336kavfa

Composite Kernel Local Angular Discriminant Analysis for Multi-Sensor Geospatial Image Analysis [article]

Saurabh Prasad, Minshan Cui, Lifeng Yan
2016 arXiv   pre-print
With the emergence of passive and active optical sensors available for geospatial imaging, information fusion across sensors is becoming ever more important.  ...  We validate this method with the multi-sensor University of Houston hyperspectral and LiDAR dataset, and demonstrate that the proposed method significantly outperforms other composite kernel approaches  ...  From the dense LiDAR point cloud, a pseudo-waveform was generated for each geolocation, that is co-registered with the hyperspectral image.  ... 
arXiv:1607.04939v1 fatcat:f4zslal3nnbezhc5r33asvbgji

Table of contents

2021 IEEE Transactions on Geoscience and Remote Sensing  
Sveinsson 3369 Simultaneously Multiobjective Sparse Unmixing and Library Pruning for Hyperspectral Imagery ....................... ......................................................................  ...  Fersch 2877 An Optimization Approach for Estimating Multiple Land Surface and Atmospheric Variables From the Geostationary Advanced Himawari Imager Top-of-Atmosphere Observations .............. H.  ... 
doi:10.1109/tgrs.2021.3063896 fatcat:miqrb4or7jbujhr2aqlvhxq3oi

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS March 2012 687-703 Multiplatform Comparisons of Rain Intensity for Extreme Precipitation Events.  ...  ., +, TGRS Nov. 2012 4349-4357 Hydrological equipment Multiplatform Comparisons of Rain Intensity for Extreme Precipitation Events.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu
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