Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery by Shuang Tian, Qikai Lu, Lifei Wei

Subjects: “…crop classification…”
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A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images by Zhengtao Li, Guokun Chen, Tianxu Zhang

Subjects: “…Crop classification…”
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An Ensemble-Based Framework for Sophisticated Crop Classification Exploiting Google Earth Engine by Yan Lv, Wei Feng, Shuo Wang, Shiyu Wang, Liang Guo, Gabriel Dauphin

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Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping by Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez, Fernando Vicente-Guijalba, Alexander W. Jacob, Marcus E. Engdahl

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Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results by Hongzhe Zhang, Shou Feng, Di Wu, Chunhui Zhao, Xi Liu, Yuan Zhou, Shengnan Wang, Hongtao Deng, Shuang Zheng

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Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation by Mustafa Ustuner, Fusun Balik Sanli

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UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area by Oto Barbosa de Andrade, Abelardo Antônio de Assunção Montenegro, Moisés Alves da Silva Neto, Lizandra de Barros de Sousa, Thayná Alice Brito Almeida, João Luis Mendes Pedroso de Lima, Ailton Alves de Carvalho, Marcos Vinícius da Silva, Victor Wanderley Costa de Medeiros, Rodrigo Gabriel Ferreira Soares, Thieres George Freire da Silva, Bárbara Pinto Vilar

Subjects: “…crop classification…”
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Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas by Isaque Daniel Rocha Eberhardt, Bruno Schultz, Rodrigo Rizzi, Ieda Del’Arco Sanches, Antonio Roberto Formaggio, Clement Atzberger, Marcio Pupin Mello, Markus Immitzer, Kleber Trabaquini, William Foschiera, Alfredo José Barreto Luiz

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Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices by Xinran Chen, Yulin Zhan, Yan Liu, Xingfa Gu, Tao Yu, Dakang Wang, Qixin Liu, Yin Zhang, Yunzhou Zhang

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Transferability of Machine Learning Models for Crop Classification in Remote Sensing Imagery Using a New Test Methodology: A Study on Phenological, Temporal, and Spatial Influences by Hauke Hoppe, Peter Dietrich, Philip Marzahn, Thomas Weiß, Christian Nitzsche, Uwe Freiherr von Lukas, Thomas Wengerek, Erik Borg

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Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches by Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim Kuznetsov, Raghavendra Jana, Maria Pukalchik, Ivan Oseledets

Subjects: “…crop classification…”
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Crop classification in the middle reaches of the Hei River based on model transfer by Huazhu Xue, Yongkang Fan, Guotao Dong, Shi He, Yaokang Lian, Wenfei Luan

Subjects: “…Crop classification…”
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Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification by Mario Busquier, Rubén Valcarce-Diñeiro, Juan M. Lopez-Sanchez, Javier Plaza, Nilda Sánchez, Benjamín Arias-Pérez

Subjects: “…crop classification…”
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Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery by Haseeb Rehman Khan, Zeeshan Gillani, Muhammad Hasan Jamal, Atifa Athar, Muhammad Tayyab Chaudhry, Haoyu Chao, Yong He, Ming Chen

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Crop classification and acreage estimation in North Korea using phenology features by Huanxue Zhang, Qiangzi Li, Jiangui Liu, Jiali Shang, Xin Du, Longcai Zhao, Na Wang, Taifeng Dong

Subjects: “…crop classification…”
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Unsupervised Domain Adaptation with Adversarial Self-Training for Crop Classification Using Remote Sensing Images by Geun-Ho Kwak, No-Wook Park

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Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data by Amal Chakhar, David Hernández-López, Rocío Ballesteros, Miguel A. Moreno

Subjects: “…crop classification…”
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Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping by No-Wook Park, Min-Gyu Park, Geun-Ho Kwak, Sungwook Hong

Subjects: “…crop classification…”
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Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification by Edyta Woźniak, Marcin Rybicki, Wlodek Kofman, Sebastian Aleksandrowicz, Cezary Wojtkowski, Stanisław Lewiński, Jędrzej Bojanowski, Jan Musiał, Tomasz Milewski, Przemysław Slesiński, Artur Łączyński

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An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping by Xiao-Peng Song, Wenli Huang, Matthew C. Hansen, Peter Potapov

Subjects: “…Crop classification…”
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