Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery

Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities

(2018) Gang Chen et al.   GIScience & Remote Sensing

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Classification of tree species based on longwave hyperspectral data from leaves, a case study for a tropical dry forest

(2018) D. Harrison et al.   International Journal of Applied Earth Observation and Geoinformation

Deep Recurrent Neural Networks for Hyperspectral Image Classification

(2017) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

(2017) Juan Pablo Rivera-Caicedo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

(2017) Luxia Liu et al.   REMOTE SENSING OF ENVIRONMENT

Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

(2017) Ovidiu Csillik   Remote Sensing

One-Dimensional Convolutional Neural Network Land-Cover Classification of Multi-Seasonal Hyperspectral Imagery in the San Francisco Bay Area, California

(2017) Daniel Guidici et al.   Remote Sensing

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area

(2016) Ronny Richter et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

Review of studies on tree species classification from remotely sensed data

(2016) Fabian Ewald Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

Object-based class modelling for multi-scale riparian forest habitat mapping

(2015) Thomas Strasser 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

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

(2013) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Geographic Object-Based Image Analysis – Towards a new paradigm

(2013) Thomas Blaschke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Tree Species Classification in Boreal Forests With Hyperspectral Data

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

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation

(2012) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

Assessing object-based classification: advantages and limitations

(2011) Desheng Liu et al.   Remote Sensing Letters

Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach

(2011) Muhammad Kamal et al.   Remote Sensing

Mapping Bush Encroaching Species by Seasonal Differences in Hyperspectral Imagery

(2010) Jens Oldeland et al.   Remote Sensing

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Differences in leaf traits, leaf internal structure, and spectral reflectance between two communities of lianas and trees: Implications for remote sensing in tropical environments

(2009) G. Arturo Sánchez-Azofeifa et al.   REMOTE SENSING OF ENVIRONMENT

Recent advances in techniques for hyperspectral image processing

(2009) Antonio Plaza et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing imagery in vegetation mapping: a review

(2008) Y. Xie et al.   Journal of Plant Ecology

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

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

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

Changes in Spectral Properties, Chlorophyll Content and Internal Mesophyll Structure of Senescing Populus balsamifera and Populus tremuloides Leaves

(2008) Karen Castro et al.   SENSORS