Comparative Analysis of Multispectral and Hyperspectral Imagery for Mapping Sugarcane Varieties
出版年份 2023 全文链接
标题
Comparative Analysis of Multispectral and Hyperspectral Imagery for Mapping Sugarcane Varieties
作者
关键词
-
出版物
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-09-06
DOI
10.1007/s41064-023-00255-x
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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