Lista de obras - Peijun Du - Dominio Público Uruguay

Active extreme learning machines for quad-polarimetric SAR imagery classification

artículo científico publicado en 2015

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

artículo científico publicado en 2012

An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content.

artículo científico publicado en 2016

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

artículo científico publicado en 2017

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

artículo científico publicado en 2012

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

artículo científico publicado en 2015

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

artículo científico publicado en 2012

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

artículo científico publicado en 2011

Fusion of Difference Images for Change Detection Over Urban Areas

artículo científico publicado en 2012

Fusion of difference images for change detection in urban areas

artículo científico publicado en 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

artículo científico publicado en 2016

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

artículo científico publicado en 2012

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

artículo científico publicado en 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

artículo científico publicado en 2017

Lista de obras de 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