Graph-Embedding Balanced Transfer Subspace Learning for Hyperspectral Cross-Scene Classification
Sign Up to like & getrecommendations! 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
Bi-Classifier Adversarial Network for Cross-Scene Hyperspectral Image Classification
Sign Up to like & getrecommendations! 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
MMDF: Multi-Modal Deep Feature Based Place Recognition of Mobile Robots With Applications on Cross-Scene Navigation
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Multi-Scale Feature Fusion Network With Cascaded Supervision for Cross-Scene Crowd Counting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3246534
Abstract: Counting the number of people in public places has received much attention, and researchers have devoted much effort to the task. However, the existing crowd counting approaches are mainly trained and tested in similar scenarios.… read more here.
Keywords: scene crowd; crowd counting; cross scene; feature ... See more keywords
Crowd Density Estimation Using Fusion of Multi-Layer Features
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2983475
Abstract: Crowd counting is very important in many tasks such as video surveillance, traffic monitoring, public security, and urban planning, so it is a very important part of the intelligent transportation system. However, achieving an accurate… read more here.
Keywords: crowd density; cross scene; density; crowd counting ... See more keywords
Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3262599
Abstract: Domain adaption (DA) is a challenging task that integrates knowledge from source domain (SD) to perform data analysis for target domain. Most of the existing DA approaches only focus on single-source-single-target setting. In contrast, multisource… read more here.
Keywords: cross scene; classification; multisource data; domain ... See more keywords
UAV multispectral multi-domain feature optimization for the air-to-ground recognition of outdoor injured human targets under cross-scene environment
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2023.999378
Abstract: Objective UAV-based multispectral detection and identification technology for ground injured human targets, is a novel and promising unmanned technology for public health and safety IoT applications, such as outdoor lost injured searching and battlefield casualty… read more here.
Keywords: recognition; cross scene; injured human; feature ... See more keywords