Multilayer Perceptron-Based Phenological and Radiometric Normalization for High-Resolution Satellite Imagery

Remote sensing tree classification with a multilayer perceptron

(2019) G Rex Sumsion et al.   PeerJ

kCCA Transformation-Based Radiometric Normalization of Multi-Temporal Satellite Images

(2018) Yang Bai et al.   Remote Sensing

Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II

(2018) Jong-Min Yeom et al.   Remote Sensing

Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images

(2018) Wei Jiang et al.   Remote Sensing

Assessment of Radiometric Resolution Impact on Remote Sensing Data Classification Accuracy

(2018) Natalia Verde et al.   Remote Sensing

Learning-Based Colorization of Grayscale Aerial Images Using Random Forest Regression

(2018) Dae Seo et al.   Applied Sciences-Basel

Multi-temporal Nonlinear Regression Method for Landsat Image Simulation

(2018) Hye Jin Kim et al.   KSCE Journal of Civil Engineering

Fusion of SAR and Multispectral Images Using Random Forest Regression for Change Detection

(2018) Dae Kyo Seo et al.   ISPRS International Journal of Geo-Information

Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis

(2017) Renlong Hang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection

(2017) Dae Seo et al.   Remote Sensing

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

Relative Radiometric Normalization for Multitemporal Remote Sensing Images by Hierarchical Regression

(2016) Chen Zhong et al.   IEEE Geoscience and Remote Sensing Letters

A new model for the automatic relative radiometric normalization of multiple images with pseudo-invariant features

(2016) Huizhen Zhou et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking

(2015) Alireza Taravat et al.   Remote Sensing

An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery

(2014) Mir Mustafizur Rahman et al.   Remote Sensing

A new model for automatic normalization of multitemporal satellite images using Artificial Neural Network and mathematical methods

(2013) Vahid Sadeghi et al.   APPLIED MATHEMATICAL MODELLING

Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression

(2013) Osmar de Carvalho et al.   Remote Sensing

Automatic Pseudo-invariant Feature Extraction for the Relative Radiometric Normalization of Hyperion Hyperspectral Images

(2012) Dae Sung Kim et al.   GIScience & Remote Sensing

Comparison of relative radiometric normalization methods using pseudo-invariant features for change detection studies in rural and urban landscapes

(2012) Nisha Bao et al.   Journal of Applied Remote Sensing

Digital repeat photography for phenological research in forest ecosystems

(2011) Oliver Sonnentag et al.   AGRICULTURAL AND FOREST METEOROLOGY

Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology

(2010) Takeshi Motohka et al.   Remote Sensing

Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks

(2009) Xuefei Hu et al.   REMOTE SENSING OF ENVIRONMENT

Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images

(2008) S VICENTESERRANO et al.   REMOTE SENSING OF ENVIRONMENT

A comparative study on radiometric normalization using high resolution satellite images

(2007) G. Hong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING