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Academic Journal

MSMC: Multi-Scale Embedding and Meta-Contrastive Learning for Few-Shot Fine-Grained SAR Target Classification.

Authors : Chen, Bowen¹ (AUTHOR); Yang, Minjia^1,2 (AUTHOR); Wang, Yue^1,2 (AUTHOR)

Source: Remote Sensing. Feb2026, Vol. 18 Issue 3, p415. 21p.

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Academic Journal

MA-Net: Multi-Granularity Attention Network for Fine-Grained Classification of Ship Targets in Remote Sensing Images.

Authors : Qi, Jiamin^1,2,3 (AUTHOR); Li, Peifeng^1,2,3 (AUTHOR); Zhou, Guangyao^1,3 (AUTHOR)

Source: Remote Sensing. Feb2026, Vol. 18 Issue 3, p462. 24p.

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Academic Journal

Sea Ice Classification with GaoFen-3 Fully Polarimetric SAR and Landsat Optical Data.

Authors : Jin, Fukun^1,2 (AUTHOR); Zhang, Wenyi^1,2 (AUTHOR) ; Yin, Xiaoyi^1,3 (AUTHOR)

Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p74. 24p.

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Academic Journal

Delineating the Distribution Outline of Populus euphratica in the Mainstream Area of the Tarim River Using Multi-Source Thematic Classification Data.

Authors : Li, Hao¹ (AUTHOR); Zou, Jiawei² (AUTHOR); Zhao, Qinyu³ (AUTHOR)

Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p157. 22p.

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Academic Journal

Land Cover Type Classification Using High-Resolution Orthophotomaps and Convolutional Neural Networks: Case Study of Tatra National Park.

Authors : Raczko, Edwin¹ (AUTHOR) ; Kycko, Marlena¹ (AUTHOR); Kluczek, Marcin¹ (AUTHOR)

Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p114. 25p.

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Academic Journal

A Semi-Supervised Multi-Scale Convolutional Neural Network for Hyperspectral Image Classification with Limited Labeled Samples.

Authors : Yang, Chen^1,2 (AUTHOR); Liu, Zizhuo^1,2 (AUTHOR); Guan, Renchu³ (AUTHOR)

Source: Remote Sensing. Oct2025, Vol. 17 Issue 19, p3273. 32p.

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Academic Journal

Dual-Branch Hyperspectral Open-Set Classification with Reconstruction–Prototype Fusion for Satellite IoT Perception.

Authors : Tang, Jialing¹ (AUTHOR); Lei, Shengwei² (AUTHOR); Liu, Jingqi^2,3 (AUTHOR)

Source: Remote Sensing. Nov2025, Vol. 17 Issue 22, p3722. 28p.

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Academic Journal

Post-Disaster Building Damage Assessment: Multi-Class Object Detection vs. Object Localization and Classification.

Authors : Hatić, Damjan^1,2 (AUTHOR) ; Polushko, Vladyslav^1,2,3 (AUTHOR); Rauhut, Markus^1,3 (AUTHOR)

Source: Remote Sensing. Dec2025, Vol. 17 Issue 24, p3957. 26p.

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Academic Journal

Evaluating Multispectral Imagery and Lidar Data for Vegetation Classification: A Comparative Assessment of UASs and Traditional Field Methods to Support Coastal Restoration Monitoring.

Authors : Reif, Molly K.¹ (AUTHOR) ; Schad, Aaron N.^1,2 (AUTHOR); Harwood, Joseph H.^1,2 (AUTHOR)

Source: Remote Sensing. Dec2025, Vol. 17 Issue 23, p3796. 35p.

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Academic Journal

Standard Classes for Urban Topographic Mapping with ALS: Classification Scheme and a First Implementation.

Authors : Walicka, Agata¹ (AUTHOR) ; Pfeifer, Norbert² (AUTHOR)

Source: Remote Sensing. Aug2025, Vol. 17 Issue 15, p2731. 42p.

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MSMC: Multi-Scale Embedding and Meta-Contrastive Learning for Few-Shot Fine-Grained SAR Target Classification.

MA-Net: Multi-Granularity Attention Network for Fine-Grained Classification of Ship Targets in Remote Sensing Images.

Sea Ice Classification with GaoFen-3 Fully Polarimetric SAR and Landsat Optical Data.

Delineating the Distribution Outline of Populus euphratica in the Mainstream Area of the Tarim River Using Multi-Source Thematic Classification Data.

Land Cover Type Classification Using High-Resolution Orthophotomaps and Convolutional Neural Networks: Case Study of Tatra National Park.

A Semi-Supervised Multi-Scale Convolutional Neural Network for Hyperspectral Image Classification with Limited Labeled Samples.

Dual-Branch Hyperspectral Open-Set Classification with Reconstruction–Prototype Fusion for Satellite IoT Perception.

Post-Disaster Building Damage Assessment: Multi-Class Object Detection vs. Object Localization and Classification.

Evaluating Multispectral Imagery and Lidar Data for Vegetation Classification: A Comparative Assessment of UASs and Traditional Field Methods to Support Coastal Restoration Monitoring.

Standard Classes for Urban Topographic Mapping with ALS: Classification Scheme and a First Implementation.

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