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   Articles with "cross scene" as a keyword



Graph-Embedding Balanced Transfer Subspace Learning for Hyperspectral Cross-Scene Classification

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3163423

Abstract: Hyperspectralcross-scene classification utilizes the prior knowledge of source scenes with known labels to classify unlabeled target scenes via transfer learning. The existing methods did not properly balance the contribution of marginal and conditional distribution to… read more here.

Keywords: transfer subspace; cross scene; scene classification; transfer ... See more keywords

Domain-Invariant Progressive Enhancement for Cross-Scene Classification of Hyperspectral Images

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3610094

Abstract: Cross-scene classification is a significant direction in hyperspectral image (HSI) processing, and the differences in distribution of the source and target domains render this task extremely formidable. Domain adaptive methods require access to target data… read more here.

Keywords: scene classification; cross scene; invariant features; domain invariant ... See more keywords
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Bi-Classifier Adversarial Network for Cross-Scene Hyperspectral Image Classification

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3266407

Abstract: Labeling hyperspectral images (HSIs) is time-consuming and labor-intensive for researchers, so the deficiency of adequate labeling samples is a giant obstacle to conducting HSI classification. Especially, such an issue is exacerbated when there are no… read more here.

Keywords: classification; domain; network; cross scene ... See more keywords

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3575600

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, challenges, such as spectral shifts across scenes and… read more here.

Keywords: classification; probability; cross scene; aware initialization ... See more keywords

Block-Wise Contrastive Few-Shot Learning With Multiview Mixing for Hyperspectral Image Cross-Scene Classification

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recommendations! Published in 2026 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3634748

Abstract: The cross-scene classification of hyperspectral images (HSI) faces challenges posed by different sensors and various land cover categories, and methods based on the cross-domain few-shot learning (FSL) framework are commonly used to address the challenge.… read more here.

Keywords: scene classification; wise; shot learning; cross scene ... See more keywords

MMDF: Multi-Modal Deep Feature Based Place Recognition of Mobile Robots With Applications on Cross-Scene Navigation

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3176731

Abstract: Although the navigation of robots in urban environments has achieved great performance, there is still a problem of insufficient robustness in cross-scene (ground, water surface) navigation applications. An intuitive idea is to introduce multi-modal complementary… read more here.

Keywords: cross scene; modal deep; mmdf multi; multi modal ... See more keywords

Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment

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recommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3046756

Abstract: Cross-scene classification is one of the major challenges for hyperspectral image (HSI) classification, especially for target scenes without label samples. Most traditional domain adaptive methods learn a domain invariant subspace to reduce statistical shift while… read more here.

Keywords: discriminative cooperative; cooperative alignment; hyperspectral image; cross scene ... See more keywords

Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3142941

Abstract: Hyperspectral image (HSI) classification is a small-sample-size problem due to the expensive cost of labeling. As a novel approach to this problem, cross-scene HSI classification has become a hot research topic in recent years. In… read more here.

Keywords: cross scene; classification; feature; subspace ... See more keywords

Unsupervised Joint Adversarial Domain Adaptation for Cross-Scene Hyperspectral Image Classification

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3202363

Abstract: In practical hyperspectral image cross-scene classification (HSICC) tasks, the arduous work of obtaining labels and the distribution inconsistency caused by spectral shift leave deep learning methods to face great challenges. Unsupervised domain adaptation aims to… read more here.

Keywords: classification; domain; domain adaptation; cross scene ... See more keywords

An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3230378

Abstract: Despite success in the same-scene hyperspectral image classification (HSIC), for the cross-scene classification, samples between source and target scenes are not drawn from the independent and identical distribution, resulting in significant performance degradation. To tackle… read more here.

Keywords: cross scene; classification; task; domain ... See more keywords

Robust Remote Sensing Image Cross-Scene Classification Under Noisy Environment

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3337652

Abstract: In recent years, great progress has been made in the field of cross-scene classification. However, most existing cross-scene methods assume that the source domain has massive and carefully annotated data, which is time-consuming and labor-intensive… read more here.

Keywords: scene classification; scene; classification noisy; cross scene ... See more keywords