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

Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data

(2017) Gang Chen et al.   REMOTE SENSING OF ENVIRONMENT

A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm

(2017) Xin Zhang et al.   SENSORS

Change Detection Based on Conditional Random Field With Region Connection Constraints in High-Resolution Remote Sensing Images

(2016) Licun Zhou et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

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

Downscaling land surface temperatures at regional scales with random forest regression

(2016) Christopher Hutengs et al.   REMOTE SENSING OF ENVIRONMENT

Change Detection in Synthetic Aperture Radar Images Using a Multiscale-Driven Approach

(2016) Olaniyi Ajadi et al.   Remote Sensing

A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques

(2015) Komeil Rokni et al.   International Journal of Applied Earth Observation and Geoinformation

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

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation

(2015) César Ortiz Toro et al.   Remote Sensing

A comparison of Gaussian process regression, random forests and support vector regression for burn severity assessment in diseased forests

(2014) Carolynne Hultquist et al.   Remote Sensing Letters

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

(2014) Zhiming Zhang 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

Effect of rounding off elevation values on the calculation of aspect and slope from a gridded digital elevation model

(2013) Lalit Kumar   Journal of Spatial Science

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

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

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

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

Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

(2012) Elfatih M. Abdel-Rahman et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

(2012) Shaban Shataee et al.   INTERNATIONAL JOURNAL OF 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

Image registration by normalized mapping

(2012) Qi Wang et al.   NEUROCOMPUTING

Change Detection Accuracy and Image Properties: A Study Using Simulated Data

(2010) Abdullah Almutairi et al.   Remote Sensing

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Object based image analysis for remote sensing

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

Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications

(2009) Vito Alberga   Remote Sensing

A comparative study on radiometric normalization using high resolution satellite images

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