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Metric Regression Forests for Correspondence Estimation

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
2015 International Journal of Computer Vision  
We present a new method for inferring dense 1 data to model correspondences, focusing on the application 2 of human pose estimation from depth images.  ...  based pose 22 estimation · Correspondence estimation · Depth images · 23  ...  Therefore, we will use our 470 proposed metric regression forest to estimate a set of image 471 to model correspondences discriminatively.  ... 
doi:10.1007/s11263-015-0818-9 fatcat:yj5djeipfvdydiz3mo4m45yclq

Metric Regression Forests for Human Pose Estimation

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
2013 Procedings of the British Machine Vision Conference 2013  
We present a new method for inferring dense data to model correspondences, focusing on the application of human pose estimation from depth images.  ...  Recent work proposed the use of regression forests to quickly predict correspondences between depth pixels and points on a 3D human mesh model.  ...  PONS-MOLL ET AL.: METRIC REGRESSION FORESTS FOR HUMAN POSE ESTIMATION  ... 
doi:10.5244/c.27.4 dblp:conf/bmvc/Pons-MollTSHF13 fatcat:pomrycz6tzex5m4zuwolyykrku

Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions

Ibrahim Fayad, Nicolas Baghdadi, Jean-Stéphane Bailly, Nicolas Barbier, Valéry Gond, Mahmoud Hajj, Frédéric Fabre, Bernard Bourgine
2014 Remote Sensing  
Results OPEN ACCESS Remote Sens. 2014, 6 11884 show that the best statistical model for estimating forest height based on waveform metrics and digital elevation data is a linear regression of waveform  ...  Random Forest regressions revealed that the best configuration for canopy height estimation used all the following metrics: waveform extent, leading edge, trailing edge, and terrain index (RMSE = 3.4 m  ...  We extend our thanks for Noveltis and EADS/Astrium for their financial support.  ... 
doi:10.3390/rs61211883 fatcat:32i6czbk6ncejcgozyae276cti

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

António Ferraz, Sassan Saatchi, Clément Mallet, Stéphane Jacquemoud, Gil Gonçalves, Carlos Silva, Paula Soares, Margarida Tomé, Luisa Pereira
2016 Remote Sensing  
Results for the AGB estimation at the forest plot level using a regression model approach shown by means of (a) a box-and-whisker diagram (see Figure 3 for details).  ...  Results for the AGB estimation at the forest plot level using a regression model approach shown by means of (a) a box-and-whisker diagram (see Figure 3 for details).  ... 
doi:10.3390/rs8080653 fatcat:4opxijkc2fe4hln4eukw6d4eqa

Support vector machines regression for estimation of forest parameters from airborne laser scanning data

J.-M. Monnet, F. Berger, J. Chanussot
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous eld plots for model calibration.  ...  Results show that support vector regression was less accurate but more stable than multiple regression for the prediction of forest parameters.  ...  For each group two types of laser metrics were calculated. Height metrics correspond to breakpoints of height bins containing an equal number of points, plus mean height.  ... 
doi:10.1109/igarss.2010.5651702 dblp:conf/igarss/MonnetBC10 fatcat:zyksip7skbhjlblwftrs3llkwi

Development of models for forest variable estimation from airborne laser scanning data using an area-based approach at a plot level

J. Sabol, D. Procházka, Z. Patočka
2016 Journal of Forest Science  
Several regression models for estimation of forest inventory attributes were developed at a plot level.  ...  A great potential of ALS lies in providing quick high precision data acquisition for purposes such as measurements of stand attributes over large forested areas.  ...  Ordinary least-square regression, as a parametric statistical method, was widely used for estimations of forest inventory variables and reliable results.  ... 
doi:10.17221/73/2015-jfs fatcat:qam4pxxkxbcqjg5gd7ifabxynq

Comparing Airborne Laser Scanning, and Image-Based Point Clouds by Semi-Global Matching and Enhanced Automatic Terrain Extraction to Estimate Forest Timber Volume

Sami Ullah, Matthias Dees, Pawan Datta, Petra Adler, Barbara Koch
2017 Forests  
linear regression.  ...  Estimates of forest height and tree density metrics derived from remotely-sensed data are used as explanatory variables, and forest timber volumes based on sample field plots are used as response variables  ...  Acknowledgments: The authors are most thankful to Shaheed Benazir Bhutto University, Sheringal Dir Upper and Higher Education Commission of Pakistan for awarding Sami Ullah a Ph.D. scholarship, which enabled  ... 
doi:10.3390/f8060215 fatcat:welqcm6hzfdxfnmcqgng6wv45a

Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil

Nicolas Baghdadi, Guerric le Maire, Ibrahim Fayad, Jean Stephane Bailly, Yann Nouvellon, Cristiane Lemos, Rodrigo Hakamada
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Biggins for the revision of the English.  ...  Marsden (International Centre for Higher Education in Agricultural Sciences, SupAgro, Montpellier, France) for her participation in the inventory data preparation, and P.  ...  However, in the previous section (Section IV-A), the different regression models for estimating forest height from waveforms and DEM metrics showed that the models using the terrain index (TI) gave the  ... 
doi:10.1109/jstars.2013.2261978 fatcat:brtberrbj5e27jtcmerbuiauvu

ABILITY OF LANDSAT-8 OLI DERIVED TEXTURE METRICS IN ESTIMATING ABOVEGROUND CARBON STOCKS OF COPPICE OAK FORESTS

A. Safari, H. Sohrabi
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Stepwise regression analysis was applied to estimate biomass from derived metrics.  ...  The role of forests as a reservoir for carbon has prompted the need for timely and reliable estimation of aboveground carbon stocks.  ...  In this study we explored the ability of Landsat 8 OLI derived texture metrics for forest carbon estimation in two study site of coppice Oak forest.  ... 
doi:10.5194/isprsarchives-xli-b8-751-2016 fatcat:v7tj37c5arcgrerx22pz7qzeqa

ABILITY OF LANDSAT-8 OLI DERIVED TEXTURE METRICS IN ESTIMATING ABOVEGROUND CARBON STOCKS OF COPPICE OAK FORESTS

A. Safari, H. Sohrabi
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Stepwise regression analysis was applied to estimate biomass from derived metrics.  ...  The role of forests as a reservoir for carbon has prompted the need for timely and reliable estimation of aboveground carbon stocks.  ...  In this study we explored the ability of Landsat 8 OLI derived texture metrics for forest carbon estimation in two study site of coppice Oak forest.  ... 
doi:10.5194/isprs-archives-xli-b8-751-2016 fatcat:3ioswjcblfcbjcdaxogbillts4

ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK

T. Li, Z. Wang, J. Peng
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Therefore, reconstructing LiDAR point feature metrics has potential for addressing AGB estimation challenge in dense canopy area.  ...  Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle.  ...  Additionally, the regression model is an essential factor for AGB estimation accuracy.  ... 
doi:10.5194/isprs-archives-xlii-3-943-2018 fatcat:lofqeyo4ivhcrlepskh4ger6ti

Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data

Joan E. Luther, Richard A. Fournier, Olivier R. van Lier, Mélodie Bujold
2019 Remote Sensing  
Improvements were observed for both multiple regression and random forest models, and for the suite of forest attributes assessed.  ...  We concluded that the use of ALS-based predictions in this study improved the estimation of forest attributes beyond an approach linking ground plots directly to the satellite and environmental data.  ...  Acknowledgments: The authors thank Darrell Harris and Ken Parsons for helpful discussions on inventory of Newfoundland forests, and Caroline Simpson for editorial review.  ... 
doi:10.3390/rs11091092 fatcat:u3esm6z6ejhr7kjfclmnmdz3ni

Voltage Estimation in Low-Voltage Distribution Grids with Distributed Energy Resources [article]

Marija Marković, Amirhossein Sajadi, Anthony Florita, Robert Cruickshank III, Bri-Mathias Hodge
2020 arXiv   pre-print
non-monitored buses using random forest.  ...  Improved observability is a prerequisite for increasing the hosting capacity of distributed energy resources such as solar photovoltaics (PV) in distribution grids.  ...  The distribution of averaged metrics is shown in Fig. 4 , where each box plot corresponds to a single regression model and graphically depicts groups of metric values through their quartiles (minimum  ... 
arXiv:2011.05598v1 fatcat:noj5cra3vzbejgy56rcucsocgm

Capability of GLAS/ICESat Data to Estimate Forest Canopy Height and Volume in Mountainous Forests of Iran

Manizheh Rajab Pourrahmati, Nicolas N. Baghdadi, Ali Asghar Darvishsefat, Manouchehr Namiranian, Ibrahim Fayad, Jean-Stephane Bailly, Valery Gond
2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
A large number of Multiple Linear Regressions (MLR) and also Random Forest (RF) regressions were developed using different set of variables: waveform metrics, Principal Components (PCs) produced from Principal  ...  Concerning forest volume, employing regression models to estimate volume directly from GLAS data led to a better result (RMSE=128.8 m 3 /ha) rather than volume-H Lorey relationship (RMSE=167.8m 3 /ha).  ...  Thanks are also extended to the members of forest research station of Nowshahr for their collaboration in gathering field measurements and providing required equipment.  ... 
doi:10.1109/jstars.2015.2478478 fatcat:3q7slopwzvfujguv5speg3nx6u

Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforest

Jason B Drake, Ralph O Dubayah, Robert G Knox, David B Clark, J.B Blair
2002 Remote Sensing of Environment  
Accurate estimates of the total biomass in terrestrial vegetation are important for carbon dynamics studies at a variety of scales.  ...  Although aboveground biomass is difficult to quantify over large areas using traditional techniques, lidar remote sensing holds great promise for biomass estimation because it directly measures components  ...  Michelle Hofton, Nancy Casey-McCabe, and Dave Kendig for their help in processing the LVIS data, and Robin Chazdon for the use of her secondary forest field data.  ... 
doi:10.1016/s0034-4257(02)00013-5 fatcat:qpkhdlils5hjdbx7h2c6lzhe3i
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