Výsledky vyhľadávania - "commonality autoencoder"

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images

Autori: Yue Wu Jiaheng Li Yongzhe Yuan a ďalší

Prispievatelia: Yue Wu Jiaheng Li Yongzhe Yuan a ďalší

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 33:4257-4270

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33600325
https://pubmed.ncbi.nlm.nih.gov/33600325/
https://www.ncbi.nlm.nih.gov/pubmed/33600325
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9357940

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.

Autori: Wu, Yue Li, Jiaheng Yuan, Yongzhe a ďalší

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Sep2022, Vol. 33 Issue 9, p4257-4270, 14p

Predmety: SYNTHETIC apertures, ARTIFICIAL neural networks, SYNTHETIC aperture radar, FEATURE extraction, IMAGE representation

MFA-SCDNet: A Semantic Change Detection Network for Visible and Infrared Image Pairs.

Autori: Li, Xingyu Gong, Jiulu Wen, Jianxiong a ďalší

Zdroj: Remote Sensing; Jun2025, Vol. 17 Issue 12, p2011, 23p

Predmety: INFRARED imaging, SURFACE dynamics, REMOTE sensing, GEOSPATIAL data, MODAL analysis, IMAGE recognition (Computer vision)

Statistical Difference Representation-Based Transformer for Heterogeneous Change Detection.

Autori: Cao, Xinhui Dong, Minggang Liu, Xingping a ďalší

Zdroj: Sensors (14248220); Jun2025, Vol. 25 Issue 12, p3740, 23p

Predmety: STRUCTURAL frames, MULTISENSOR data fusion, REMOTE sensing, DETECTORS, DEEP learning, MULTIMODAL user interfaces

An Improved Image-Denoising Technique Using the Whale Optimization Algorithm.

Autori: Hu, Pei Han, Yibo Pan, Jeng-Shyang

Zdroj: Electronics (2079-9292); Jan2025, Vol. 14 Issue 1, p145, 25p

Predmety: METAHEURISTIC algorithms, OPTIMIZATION algorithms, SIGNAL-to-noise ratio, WAVELET transforms, RANDOM noise theory, IMAGE denoising

基于自适应非局部模式一致性的多模态遥感影像变化检测方法. (Chinese)

Alternate Title: Change detection method based on adaptive nonlocal pattern consistency for multimodal remote sensing images. (English)

Autori: 韩, 特 汤, 玉奇 陈, 玉增 a ďalší

Zdroj: Journal of Remote Sensing; Dec2024, Vol. 28 Issue 12, p3197-3212, 16p

Predmety: SYNTHETIC apertures, SYNTHETIC aperture radar, CURVELET transforms, REMOTE sensing, IMAGE fusion

Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review.

Autori: Saidi, Souad Idbraim, Soufiane Karmoude, Younes a ďalší

Zdroj: Remote Sensing; Oct2024, Vol. 16 Issue 20, p3852, 32p

Predmety: SURFACE of the earth, REMOTE sensing, DEEP learning, MULTISENSOR data fusion, RESEARCH personnel

Deep gated hyperbolic sine reinforcement with Q learning based change detection and classification in satellite images.

Autori: Pujari, Jambukeshwar S. Wasim, Javed Tripathi, Aprna

Zdroj: GeoInformatica; Jun2026, Vol. 30 Issue 1, p1-29, 29p

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review.

Autori: Cheng, Guangliang Huang, Yunmeng Li, Xiangtai a ďalší

Zdroj: Remote Sensing; Jul2024, Vol. 16 Issue 13, p2355, 36p

Predmety: DEEP learning, FEATURE extraction, LAND cover, REMOTE sensing, AGRICULTURAL surveys, OPTICAL remote sensing

Self-Paced Multi-Scale Joint Feature Mapper for Multi-Objective Change Detection in Heterogeneous Images.

Autori: Wang, Ying Dang, Kelin Yang, Rennong a ďalší

Zdroj: Remote Sensing; Jun2024, Vol. 16 Issue 11, p1961, 27p

Predmety: PARTICLE swarm optimization, REMOTE sensing, LEARNING strategies, REMOTE-sensing images

D 2 Former: Dual-Domain Transformer for Change Detection in VHR Remote Sensing Images.

Autori: Zheng, Huanhuan Liu, Hui Lu, Lei a ďalší

Zdroj: Electronics (2079-9292); Jun2024, Vol. 13 Issue 11, p2204, 23p

Predmety: COMPUTATIONAL intelligence

Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection.

Autori: Tang, Yuqi Yang, Xin Han, Te a ďalší

Zdroj: Remote Sensing; Feb2024, Vol. 16 Issue 4, p721, 19p

Predmety: REPRESENTATIONS of graphs, PROBABILITY measures, URBAN planning, REMOTE sensing, ENVIRONMENTAL monitoring, TANNER graphs

Global structure graph mapping for multimodal change detection.

Autori: Han, Te Tang, Yuqi Chen, Yuzeng a ďalší

Zdroj: International Journal of Digital Earth; Jan2024, Vol. 17 Issue 1, p1-26, 26p

CoLM²S: Contrastive self‐supervised learning on attributed multiplex graph network with multi‐scale information.

Autori: Han, Beibei Wei, Yingmei Wang, Qingyong a ďalší

Zdroj: CAAI Transactions on Intelligence Technology; Dec2023, Vol. 8 Issue 4, p1464-1479, 16p

Predmety: SUPERVISED learning, INFORMATION networks, REPRESENTATIONS of graphs

DFANet: Denoising Frequency Attention Network for Building Footprint Extraction in Very-High-Resolution Remote Sensing Images.

Autori: Lu, Lei Liu, Tongfei Jiang, Fenlong a ďalší

Zdroj: Electronics (2079-9292); Nov2023, Vol. 12 Issue 22, p4592, 18p

Predmety: COMPUTATIONAL intelligence, PYRAMIDS, ARCHITECTURAL details, AUTOMATIC identification, URBAN growth, REMOTE-sensing images, FOOTPRINTS

Novel Land Cover Change Detection Deep Learning Framework with Very Small Initial Samples Using Heterogeneous Remote Sensing Images.

Autori: Zhu, Yangpeng Li, Qianyu Lv, Zhiyong a ďalší

Zdroj: Remote Sensing; Sep2023, Vol. 15 Issue 18, p4609, 20p

Predmety: DEEP learning, LAND cover, REMOTE sensing, SYNTHETIC aperture radar, PEARSON correlation (Statistics), OPTICAL sensors, BASE pairs

深度学习的遥感变化检测综述：文献计量与分析. (Chinese)

Alternate Title: Review of remote sensing change detection in deep learning： Bibliometric and analysis. (English)

Autori: 杨, 彬 毛, 银 陈, 晋 a ďalší

Zdroj: Journal of Remote Sensing; Sep2023, Vol. 27 Issue 9, p1988-2005, 18p

Predmety: DEEP learning, REMOTE sensing, BIBLIOMETRICS, CLASSIFICATION

Classification of multi-modal remote sensing images based on knowledge graph.

Autori: Fang, Jianyong Yan, Xuefeng

Zdroj: International Journal of Remote Sensing; Aug2023, Vol. 44 Issue 15, p4815-4835, 21p

Predmety: KNOWLEDGE graphs, IMAGE recognition (Computer vision), MULTISPECTRAL imaging, REMOTE sensing, LAND cover

Geografický termín: HOUSTON (Tex.)

Learning Invariant Representation Via Contrastive Feature Alignment for Clutter Robust SAR ATR.

Autori: Peng, Bowen Xie, Jianyue Peng, Bo a ďalší

Zdroj: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

Continual Learning for Remote Sensing Image Scene Classification With Prompt Learning.

Autori: Zhao, Ling Xu, Linrui Zhao, Li a ďalší

Zdroj: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p