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Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes

Juheon Lee, Xiaohao Cai, Carola-Bibiane Schonlieb, David A. Coomes
2015 IEEE Transactions on Geoscience and Remote Sensing  
Precise data fusion is a prerequisite to accurate recognition of objects within airborne imagery, so non-parametric image registration could make a valuable contribution to the analysis pipeline.  ...  There is much current interest in using multi-sensor airborne remote sensing to monitor the structure and biodiversity of forests.  ...  Taylor of Plymouth Marine Laboratory and W. Simonson for their valuable comments on the manuscript.  ... 
doi:10.1109/tgrs.2015.2431692 fatcat:cy6rkuksvvf5bdz6mjopaaczwm

Mapping of Urban Vegetation with High-Resolution Remote Sensing: A Review

Robbe Neyns, Frank Canters
2022 Remote Sensing  
The use of imagery with a high spatial and temporal resolution, enabling the retrieval of phenological information for mapping and monitoring vegetation at the species level, still proves to be limited  ...  Interest in the mapping of non-tree species in urban environments is still limited. The same holds for the mapping of understory species.  ...  [58] (1 m airborne photographs) and Pu and Landry [53] (WorldView-2 imagery) for the classification of individual trees.  ... 
doi:10.3390/rs14041031 fatcat:axd33lzzljh2fgoggchujmts6y

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery [article]

Juheon Lee, David Coomes, Carola-Bibiane Schonlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft
2017 arXiv   pre-print
Here we develop a 3D tree delineation method which uses graph cut to delineate trees from the full 3D LiDAR point cloud, and also makes use of any optical imagery available (hyperspectral imagery in our  ...  Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management.  ...  Xiaohao Cai was supported by the Issac Newton Trust and Welcome Trust. DAC was supported by a DEFRA-BBSRC grant to study the spread of ash dieback disease in British woodlands.  ... 
arXiv:1701.06715v1 fatcat:53v6tlbokng5hlklp5ohqnu7eu

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

Combining Hyperspectral and Lidar Data for Vegetation Mapping in the Florida Everglades

Caiyun Zhang
2014 Photogrammetric Engineering and Remote Sensing  
A synergy of hyperspectral imagery with all lidar-derived features achieved the best result with an overall accuracy of 86 percent and a Kappa value of 0.82 based on an ensemble analysis of three machine  ...  The study shows the promise of the synergy of hyperspectral and lidar systems for mapping complex wetlands.  ...  Zhixiao Xie assisted with the image segmentation. Dr. Prasad S. Thenkabail provided valuable comments and suggestions, which improved an earlier version of this paper.  ... 
doi:10.14358/pers.80.8.733 fatcat:7zdbtd6qrfawxlodzwlocdvdca

A Framework to Combine Three Remotely Sensed Data Sources for Vegetation Mapping in the Central Florida Everglades

Caiyun Zhang, Donna Selch, Hannah Cooper
2015 Wetlands (Wilmington, N.C.)  
A framework was designed to integrate three complimentary remotely sensed data sources (aerial photography, hyperspectral imagery, and LiDAR) for mapping vegetation in the Florida Everglades.  ...  of three classifiers k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), and Random Forest (RF).  ...  Experiments 1-3 applied the aerial photograph alone; Experiments 4-6 fused the aerial photograph and hyperspectral imagery; Experiments 7-9 combined the aerial photograph and LiDAR data; and Experiments  ... 
doi:10.1007/s13157-015-0730-7 fatcat:f34wbw52nvftze7uwssl3gnmhq

A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary

Dimitris Stratoulias, Heiko Balzter, András Zlinszky, Viktor R. Tóth
2018 International Journal of Remote Sensing  
In this study, we investigate the capabilities of a concurrently acquired very high spatial resolution airborne hyperspectral and lidar data set at the peak of aquatic vegetation growth in a nature reserve  ...  specialized community of experts to select the appropriate sensor, define the imaging mode requirements, and select the optimal classifier or retrieval method for the task at hand.  ...  Klemas (2011) recommended that the combined use of lidar and hyperspectral imagery can improve the accuracy of wetland species discrimination.  ... 
doi:10.1080/01431161.2018.1466081 fatcat:zfjgt3jpdrea7j7ussqmzel4yq

Advancements in satellite remote sensing for mapping and monitoring of alien invasive plant species (AIPs)

Lwando Royimani, Onisimo Mutanga, John Odindi, Timothy Dube, Trylee Nyasha Matongera
2018 Physics and Chemistry of the Earth  
Therefore, to address the inevitable challenges arising with satellite sensor development technology it is necessary to explore the use of robust and advanced non-parametric image classifiers with data  ...  Furthermore, the emergence of robust and advanced nonparametric image classification algorithms have been a major development in image classification algorithms.  ...  Peerbhay et al. (2016a) , for instance, fused an AISA Eagle airborne hyperspectral dataset and a high spatial resolution WorldView-2 with LiDAR data to detect Bugweed in commercial plantation forests of  ... 
doi:10.1016/j.pce.2018.12.004 fatcat:n7wymqa37jdyhjqrx5ebf5e3gy

UAS for Wetland Mapping and Hydrological Modeling

Justyna Jeziorska
2019 Remote Sensing  
However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with  ...  Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling.  ...  Besides the direct use of UAS generated products for testing the models, they can also be used for parametralization, similar to the use of airborne lidar [104] .  ... 
doi:10.3390/rs11171997 fatcat:5uh6h4rlsjc57f2r5qjj6g5yny

Remote sensing technology for mapping and monitoring land-cover and land-use change

John Rogan, DongMei Chen
2004 Progress in Planning  
We also acknowledge helpful comments from Pete Coulter, Jennifer Miller, Christine McMichael and Ryan Engstrom (San Diego State University), Dr Dar Roberts, and Martin Herold (University of California,  ...  Acknowledgements The authors wish to thank Dr Paul Treitz, the editor of this special issue, for his insightful comments and direction while preparing this manuscript.  ...  Another notable airborne hyperspectral sensor is the Compact Airborne Spectrographic Imager-2 (CASI-2), a programmable system (i.e. the user can program the sensor to collect a combination of high-spatial  ... 
doi:10.1016/s0305-9006(03)00066-7 fatcat:rcxljs2k2fgbnomjvy26ldr2x4

Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

Zhen Zhen, Lindi Quackenbush, Lianjun Zhang
2016 Remote Sensing  
Studies using active data-LiDAR in particular-accounted for 80% of the total increase over the entire time period, those using passive data or fusion of passive and active data comprised relatively small  ...  like LiDAR.  ...  Science Foundation of China for financing this paper.  ... 
doi:10.3390/rs8040333 fatcat:3leqzeyxsvcgxlrjilq5oi4lfm

Feature extraction and selection in remote sensing-aided forest inventory

Reija Haapanen
2014 Dissertationes Forestales  
An indicative suitability order of these image types for estimation of forest variables was ALS, TerraSAR-X, aerial photographs and Landsat 7 ETM+.  ...  The non-parametric k nearest neighbour estimation method was applied throughout the study.  ...  Another active imaging type, lidar, uses visible or NIR wavelengths in laser form and also measures the return time and intensity of the emitted pulse (ALS is an airborne lidar).  ... 
doi:10.14214/df.181 fatcat:2wyf2urvhnfrnkulckz37ei6z4

Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping

Yasmine Megahed, Ahmed Shaker, Wai Yeung Yan
2021 Remote Sensing  
Misclassifications occurred among different classes due to independent acquisition of aerial and LiDAR data as well as shadow and orthorectification problems from aerial images.  ...  This study investigates the effects of including conventional spectral signatures acquired by different sensors on the classification of airborne LiDAR (Light Detection and Ranging) point clouds using  ...  Acknowledgments: The authors would like to thank Ernest Ho for his thorough proofreading and valuable suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13040814 fatcat:nr5bqjcrq5e6vdyhm6nu4eqz4u

Hyperspectral Remote Sensing [chapter]

Eyal Ben-Dor, Daniel Schläpfer, Antonio J. Plaza, Tim Malthus
2013 Airborne Measurements for Environmental Research  
Colour aerial photographs and LiDAR data were also collected concurrently with the imagery.  ...  the spectral and spatial information available in airborne hyper-spectral imagery collected by the NASA JPL Airborne Visible-Infrared Imaging Spectrometer, and DAIS imagery.  ...  It is a passive scanning and imaging instrument consisting of 4 spectrometers that simultaneously acquire radiation in the VNIR, SWIR and thermal infrared (TIR) ( Table A .1).  ... 
doi:10.1002/9783527653218.ch8 fatcat:rimn5senmnaf5k6vpytbokahoi

HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System

Arko Lucieer, Zbyněk Malenovský, Tony Veness, Luke Wallace
2014 Journal of Field Robotics  
In this paper, we describe the design, development, airborne operations, calibration, processing, and interpretation of image data collected with a new hyperspectral unmanned aircraft system (HyperUAS)  ...  In this paper, we describe the design, development, airborne operations, in addition to calibration, processing and interpretation of image data collected with a new hyperspectral unmanned aircraft system  ...  Authors acknowledge support of Jan Hanuš from Global Change Research Centre ASCR, v.v.i. in Czech Republic, and Tim Malthus and José A.  ... 
doi:10.1002/rob.21508 fatcat:golpbazwu5gl7b5a4yye6amn2a
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