Comparative Analysis of Multispectral and Hyperspectral Imagery for Mapping Sugarcane Varieties

Semi-Supervised Land Cover Classification of Remote Sensing Imagery Using CycleGAN and EfficientNet

(2023) Taehong Kwak et al.   KSCE Journal of Civil Engineering

A Generalized Regression Neural Network Model for Accuracy Improvement of Global Precipitation Products: A Climate Zone-Based Local Optimization

(2023) Saeid Mohammadpouri et al.   Sustainability

Deriving Phenological Metrics from Landsat-OLI for Sugarcane Crop Type Mapping: A Case Study in North India

(2022) Ranjeet Singh et al.   Journal of the Indian Society of Remote Sensing

Field-scale estimation of sugarcane leaf nitrogen content using vegetation indices and spectral bands of Sentinel-2: Application of random forest and support vector regression

(2022) Maryam Soltanikazemi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop type classification in Southern Brazil: Integrating remote sensing, crop modeling and machine learning

(2022) Luan Pierre Pott et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Surface biophysical features fusion in remote sensing for improving land crop/cover classification accuracy

(2022) Solmaz Fathololoumi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An Innovative Fusion-Based Scenario for Improving Land Crop Mapping Accuracy

(2022) Solmaz Fathololoumi et al.   SENSORS

Deep Learning-Based Method for Classification of Sugarcane Varieties

(2022) Priscila Marques Kai et al.   Agronomy-Basel

Genetic Improvement of Sugarcane (Saccharum spp.) Contributed to High Sucrose Content in China Based on an Analysis of Newly Developed Varieties

(2022) Yong Zhao et al.   Agriculture-Basel

NDVI/NDRE prediction from standard RGB aerial imagery using deep learning

(2022) Corey Davidson et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data

(2021) Christopher A. Ramezan et al.   Remote Sensing

Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data

(2021) Daniel Kpienbaareh et al.   Remote Sensing

Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil

(2021) Luan Pierre Pott et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Pre- and within-season crop type classification trained with archival land cover information

(2021) David M. Johnson et al.   REMOTE SENSING OF ENVIRONMENT

Mapping of land cover in semi-arid regions based on a multi-gate semi-supervised learning method – a case study of Zhangbei, China

(2021) Boan Chen et al.   Remote Sensing Letters

Feature extraction for hyperspectral image classification: a review

(2020) Brajesh Kumar et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

(2020) Bing Lu et al.   Remote Sensing

Remote sensing versus the area sampling frame method in paddy rice acreage estimation in Indramayu regency, West Java province, Indonesia

(2020) Laju Gandharum et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images

(2020) Jingtao Li et al.   Remote Sensing

Homogeneity Distance Classification Algorithm (HDCA): A Novel Algorithm for Satellite Image Classification

(2019) Mohammad Firozjaei et al.   Remote Sensing

Crop type classification using a combination of optical and radar remote sensing data: a review

(2019) Aiym Orynbaikyzy et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Automated Built-Up Extraction Index: A New Technique for Mapping Surface Built-Up Areas Using LANDSAT 8 OLI Imagery

(2019) Firozjaei et al.   Remote Sensing

Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

(2019) Vittorio Mazzia et al.   Applied Sciences-Basel

An Algorithm for an Accurate Detection of Anomalies in Hyperspectral Images With a Low Computational Complexity

(2018) Maria Diaz et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Classification of sugarcane varieties using visible/near infrared spectral reflectance of stalks and multivariate methods

(2018) A. J. Steidle Neto et al.   JOURNAL OF AGRICULTURAL SCIENCE

Landsat-5 Time Series Analysis for Land Use/Land Cover Change Detection Using NDVI and Semi-Supervised Classification Techniques

(2017) Syeda Maria Zaidi et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series

(2017) Charlotte Pelletier et al.   Remote Sensing

Semisupervised classification for hyperspectral image based on multi-decision labeling and deep feature learning

(2016) Xiaorui Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification and assessment of land cover and land use change in southern Ghana using dense stacks of Landsat 7 ETM+ imagery

(2016) Lloyd L. Coulter et al.   REMOTE SENSING OF ENVIRONMENT

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images

(2016) Christoph Hütt et al.   Remote Sensing

Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

(2016) Jordi Inglada et al.   Remote Sensing

Particle swarm optimization (PSO). A tutorial

(2015) Federico Marini et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice

(2014) Lu Wang et al.   Food Analytical Methods

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

(2014) Yuguo Qian et al.   Remote Sensing

Sugarcane Agriculture and Sugar Industry in China

(2014) Yang-Rui Li et al.   Sugar Tech

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms

(2013) Bing Xue et al.   APPLIED SOFT COMPUTING

Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

(2012) Naif Alajlan et al.   INFORMATION SCIENCES

Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds

(2012) Xiaolei Zhang et al.   SENSORS

A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

(2011) Jin Chen et al.   REMOTE SENSING OF ENVIRONMENT

Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island

(2009) Nicolas Baghdadi et al.   REMOTE SENSING OF ENVIRONMENT