A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification

Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis

(2019) Matheus Pinheiro Ferreira et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

(2018) Qishuo Gao et al.   Remote Sensing

Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

(2018) Julia Maschler et al.   Remote Sensing

LiDAR Data Classification Using Spatial Transformation and CNN

(2018) Xin He et al.   IEEE Geoscience and Remote Sensing Letters

Forest PA : Constructing a decision forest by penalizing attributes used in previous trees

(2017) Md Nasim Adnan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Convolutional neural networks for hyperspectral image classification

(2017) Shiqi Yu et al.   NEUROCOMPUTING

Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

(2017) Edwin Raczko et al.   European Journal of Remote Sensing

Transferring Pre-Trained Deep CNNs for Remote Scene Classification with General Features Learned from Linear PCA Network

(2017) Jie Wang et al.   Remote Sensing

Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil

(2017) Camile Sothe et al.   Remote Sensing

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

(2017) Ying Li et al.   Remote Sensing

Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

(2017) Lei Ma et al.   ISPRS International Journal of Geo-Information

Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation

(2016) Victor Andres Ayma Quirita et al.   IEEE Geoscience and Remote Sensing Letters

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

(2016) Matheus Pinheiro Ferreira et al.   REMOTE SENSING OF ENVIRONMENT

Classification of Landscape Types Based on Land Cover, Successional Stages and Plant Functional Groups in a Species-Rich Forest in Hainan Island, China

(2016) Zhidong Zhang et al.   Tropical Conservation Science

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa

(2015) Galal Omer et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image

(2015) Taskin Kavzoglu et al.   Remote Sensing Letters

Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery

(2015) Brian Johnson et al.   ISPRS International Journal of Geo-Information

Mapping and Characterizing Selected Canopy Tree Species at the Angkor World Heritage Site in Cambodia Using Aerial Data

(2015) Minerva Singh et al.   PLoS One

Operational Tree Species Mapping in a Diverse Tropical Forest with Airborne Imaging Spectroscopy

(2015) Claire A. Baldeck et al.   PLoS One

A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon

(2014) Dengsheng Lu et al.   GIScience & Remote Sensing

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

(2014) Christian Debes et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Experiences from the Brazilian Atlantic Forest: ecological findings and conservation initiatives

(2014) Carlos A. Joly et al.   NEW PHYTOLOGIST

Urban tree species mapping using hyperspectral and lidar data fusion

(2014) Michael Alonzo et al.   REMOTE SENSING OF ENVIRONMENT

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

(2014) Yuguo Qian et al.   Remote Sensing

Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

(2013) Junshi Xia et al.   IEEE Geoscience and Remote Sensing Letters

Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation

(2013) Heather Reese et al.   International Journal of Applied Earth Observation and Geoinformation

A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

(2013) Aniruddha Ghosh et al.   International Journal of Applied Earth Observation and Geoinformation

Analysis of full-waveform LiDAR data for classification of an orange orchard scene

(2013) Karolina D. Fieber et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Influência de variáveis ambientais sobre o padrão estrutural e florístico do componente arbóreo, em um fragmento de Floresta Ombrófila Mista Montana em Lages, SC

(2012) Pedro Higuchi et al.   CIENCIA FLORESTAL

Support vector machines to map rare and endangered native plants in Pacific islands forests

(2012) Robin Pouteau et al.   Ecological Informatics

Tree Species Classification in Boreal Forests With Hyperspectral Data

(2012) Michele Dalponte et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

(2012) Jean-Baptiste Feret et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

(2012) Victor F. Rodriguez-Galiano et al.   International Journal of Digital Earth

Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests

(2012) Dennis C. Duro et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

(2012) L. Naidoo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

First Report of the Cereal Cyst Nematode Heterodera latipons on Wheat in Morocco

(2012) F. Mokrini et al.   PLANT DISEASE

LIDAR remote sensing for secondary Tropical Dry Forest identification

(2012) Mauricio Castillo et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest

(2012) Brian M. Wing et al.   REMOTE SENSING OF ENVIRONMENT

A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species

(2012) Ruiliang Pu et al.   REMOTE SENSING OF ENVIRONMENT

Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

(2012) Moses Azong Cho et al.   REMOTE SENSING OF ENVIRONMENT

Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

(2012) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar

(2012) Nicholas R. Vaughn et al.   Remote Sensing

Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier

(2012) Matthew L. Clark et al.   Remote Sensing

Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data

(2012) Matthew Colgan et al.   Remote Sensing

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image

(2011) Xianfeng Song et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating vegetation height and canopy cover from remotely sensed data with machine learning

(2010) Daniela Stojanova et al.   Ecological Informatics

Exploring full-waveform LiDAR parameters for tree species classification

(2010) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada

(2010) Trevor G. Jones et al.   REMOTE SENSING OF ENVIRONMENT

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

(2010) Yinghai Ke et al.   REMOTE SENSING OF ENVIRONMENT

The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation

(2009) Milton Cezar Ribeiro et al.   BIOLOGICAL CONSERVATION

Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data

(2009) Sooyoung Kim et al.   REMOTE SENSING OF ENVIRONMENT

Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data

(2009) Hans Ole Ørka et al.   REMOTE SENSING OF ENVIRONMENT

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

(2008) Michele Dalponte et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR

(2008) Gregory P. Asner et al.   REMOTE SENSING OF ENVIRONMENT