Michele Dalponte

发表

Automatic selection of frequency and time intervals for classification of EEG signals

Francesca Bovolo, Lorenzo Bruzzone, Michele Dalponte, 2007 .

Predicting Selected Forest Stand Characteristics with Multispectral ALS Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2018, Remote. Sens..

Unsupervised selection of training plots and trees for tree species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data

Michele Dalponte, Erik Næsset, Hans Ole Ørka, 2017, Remote. Sens..

A new procedure for identifying single trees in understory layer using discrete LiDAR data

Jonathan Cheung-Wai Chan, Michele Dalponte, Damiano Gianelle, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Aboveground biomass estimation in tropical forests at single tree level with ALS data

Michele Dalponte, Tommaso Jucker, David F. R. P. Burslem, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data

Michele Dalponte, Erik Næsset, Ole Martin Bollandsås, 2019, Remote. Sens..

Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2019, Remote. Sens..

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

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2017, ArXiv.

Prediction of Forest Attributes with Multispectral Lidar Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Predicting category specific effects in single subject electrophysiological activity

Lorenzo Bruzzone, Massimo Poesio, Michele Dalponte, 2008 .

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

Michele Dalponte, Cláudia Maria de Almeida, Antonio Maria Garcia Tommaselli, 2019, Remote. Sens..

Fusion of hyperspectral and LiDAR data for forest attributes estimation

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

The STEM project: an open source solution for agricoltural monitoring

Markus Neteler, Michele Dalponte, Damiano Gianelle, 2014 .

The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas.

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2007 .

Fusion of hyperspectral and lidar remote sensing data for the estimation of tree stem diameters

Lorenzo Bruzzone, Michele Dalponte, L. Bruzzone, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Tree species classification with hyperspectral data and artificial training samples

Michele Dalponte, Terje Gobakken, Erik Næsset, 2017 .

Forest species and biomass estimation using airborne laser scanning and hyperspectral images

Jonathan Cheung-Wai Chan, Michele Dalponte, Liviu Theodor Ene, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

NEON NIST data science evaluation challenge: methods and results of team FEM

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2018 .

VIS-NIR, Red-Edge and NIR-Shoulder Based Normalized Vegetation Indices Response to Co-Varying Leaf and Canopy Structural Traits in Heterogeneous Grasslands

Michele Dalponte, Damiano Gianelle, Duccio Rocchini, 2020, Remote. Sens..

A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification

Xiaohua Tong, Michele Dalponte, Qian Du, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Weighted Support Vector Machines for Tree Species Classification Using Lidar Data

Begüm Demir, Michele Dalponte, Minh Hoang Nguyen, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images

Michele Dalponte, Terje Gobakken, Claudio Persello, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Tree Species Classification in Boreal Forests With Hyperspectral Data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Fusion of hyperspectral imaging and LiDAR for forest monitoring

Jocelyn Chanussot, Grégoire Vincent, Michele Dalponte, 2020 .

Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data

Michele Dalponte, Kaja Kandare, Erik Næsset, 2017, Int. J. Appl. Earth Obs. Geoinformation.

A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

Michele Dalponte, Begum Demir, Hoang Minh Nguyen, 2019 .

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Estimation of tree biomass volume in alpine forest areas using multireturn lidar data and support vector regression

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2008, Remote Sensing.

Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods

Michele Dalponte, Terje Gobakken, Erik Næsset, 2019, Remote. Sens..

Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume

Lorenzo Bruzzone, Nicholas C. Coops, Michele Dalponte, 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps

Micol Rossini, Tommaso Julitta, Michele Dalponte, 2019, Remote. Sens..

A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

Begüm Demir, Michele Dalponte, Minh Hoang Nguyen, 2019, Remote. Sens..

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification

Bernhard Schölkopf, Michele Dalponte, Terje Gobakken, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Semi-supervised SVM for individual tree crown species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2015 .

Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection

Qian Du, Xiaohua Tong, Sicong Liu, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods

Michele Dalponte, Damiano Gianelle, Kaja Kandare, 2015 .

Detection of Forest Changes with Multi-Temporal Lidar Data

Michele Dalponte, Sicong Liu, Damiano Gianelle, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A comparison on the use of different satellite multispectral data for the prediction of aboveground biomass

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2020, Remote Sensing.

Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study

Michele Dalponte, Damiano Gianelle, Gherardo Chirici, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity

Michele Dalponte, Gherardo Chirici, Gaia Vaglio Laurin, 2020, Remote. Sens..

Mapping forest windthrows using high spatial resolution multispectral satellite images

Yady Tatiana Solano Correa, Michele Dalponte, Damiano Gianelle, 2020, Int. J. Appl. Earth Obs. Geoinformation.

On the role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2007, SPIE Remote Sensing.

A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification

Qian Du, Xiaohua Tong, Michele Dalponte, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Corrections to "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification"

Qian Du, Xiaohua Tong, Michele Dalponte, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2021, Remote. Sens..

A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space

Markus Hollaus, Norbert Pfeifer, Domen Mongus, 2015 .

Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data

Michele Dalponte, Gregory P. Asner, Tommaso Jucker, 2017 .

Characterizing forest species composition using multiple remote sensing data sources and inventory approaches

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013 .

Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys

Michele Dalponte, Stephen Hagen, Michael Schlund, 2020, Global change biology.

Estimation of forest attributes at single tree level using hyperspectral and ALS data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2014 .

Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2019, PeerJ.

Topography shapes the structure, composition and function of tropical forest landscapes

Michele Dalponte, Tommaso Jucker, Reuben Nilus, 2018, Ecology letters.

Distinguishing Concept Categories from Single-Trial Electrophysiological Activity

Lorenzo Bruzzone, Massimo Poesio, Michele Dalponte, 2008 .

Predicting stem diameters and aboveground biomass of individual trees using remote sensing data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2018 .

Mapping and modeling forest tree volume using forest inventory and airborne laser scanning

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2011, European Journal of Forest Research.

Tree‐centric mapping of forest carbon density from airborne laser scanning and hyperspectral data

Michele Dalponte, David A. Coomes, M. Dalponte, 2016, Methods in ecology and evolution.

A novel fire index-based burned area change detection approach using Landsat-8 OLI data

Xiaohua Tong, Michele Dalponte, Yongjie Zheng, 2020 .

How to map forest structure from aircraft, one tree at a time

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2018, Ecology and evolution.

Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns

Jonathan Cheung-Wai Chan, Michele Dalponte, Hans Ole Ørka, 2016 .

The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas

Michele Dalponte, Damiano Gianelle, M. Dalponte, 2011 .