List of works - Peijun Du

Active extreme learning machines for quad-polarimetric SAR imagery classification

scientific article published in March 2015

Adaptive affinity propagation with spectral angle mapper for semi-supervised hyperspectral band selection.

scientific article published in May 2012

An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content.

scientific article published on 7 April 2016

Assessing the Spatiotemporal Variation and Impact Factors of Net Primary Productivity in China

scientific article

Comparative analysis and combination of ALOS optical and SAR data for human settlement extent extraction

scientific article published in July 2012

Ensemble learning for spatial interpolation of soil potassium content based on environmental information

scientific article published on 30 April 2015

Evaluation and analysis of fusion algorithms for active and passive remote sensing image

scientific article published in July 2012

Foreword to the Special Issue on “Human Settlements: A Global Remote Sensing Challenge”

scientific article published in March 2011

Fusion of Difference Images for Change Detection Over Urban Areas

scientific article published in August 2012

Fusion of difference images for change detection in urban areas

scientific article published in April 2011

Information fusion techniques for change detection from multi-temporal remote sensing images

scholarly article by Peijun Du et al published January 2013 in Information Fusion

Integrating EfficientNet into an HAFNet Structure for Building Mapping in High-Resolution Optical Earth Observation Data

scientific article published in 2021

Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification

scientific article published in November 2016

Multiple classifier system for remote sensing image classification: a review.

scientific article

Polarimetric SAR image classification by Boosted Multiple-Kernel Extreme Learning Machines with polarimetric and spatial features

scientific article published on 26 November 2014

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression

scientific article

List of works by Peijun Du

Active extreme learning machines for quad-polarimetric SAR imagery classification

Adaptive affinity propagation with spectral angle mapper for semi-supervised hyperspectral band selection.

An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content.

Assessing the Spatiotemporal Variation and Impact Factors of Net Primary Productivity in China

Comparative analysis and combination of ALOS optical and SAR data for human settlement extent extraction

Ensemble learning for spatial interpolation of soil potassium content based on environmental information

Evaluation and analysis of fusion algorithms for active and passive remote sensing image

Foreword to the Special Issue on “Human Settlements: A Global Remote Sensing Challenge”

Fusion of Difference Images for Change Detection Over Urban Areas

Fusion of difference images for change detection in urban areas

Information fusion techniques for change detection from multi-temporal remote sensing images

Integrating EfficientNet into an HAFNet Structure for Building Mapping in High-Resolution Optical Earth Observation Data

Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification

Multiple classifier system for remote sensing image classification: a review.

Polarimetric SAR image classification by Boosted Multiple-Kernel Extreme Learning Machines with polarimetric and spatial features

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression