A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes
2015
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
Other Versions
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
2022
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2009
Journal of Applied Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
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
2014
Photogrammetric Engineering and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
Wetlands (Wilmington, N.C.)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
International Journal of Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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)
2018
Physics and Chemistry of the Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2019
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2004
Progress in Planning
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2016
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2014
Dissertationes Forestales
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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]
2013
Airborne Measurements for Environmental Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2014
Journal of Field Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 56 results