Spatiotemporal fusion of multisource remote sensing data: literature survey, taxonomy, principles, applications, and future directions. Remote Sens, 2018, 10: 527 2.1、Weight function-based methods 时空自适应反射率融合模型(STARFM)是现有文献中开发的第一个基于权重函数的STF方法。该方法首先假设粗略图像中...
spatio-temporal fusion(STF)multi-temporal remote sensing databenchmark dataexperimental validationSpatio-temporal fusion(STF)aims at fusing(temporally dense)coarse resolution images and(temporally sparse)fine resolution images to generate image series with adequate temporal and spatial resolution.In the last...
Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying
Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks abstract 地表反射率图像的渐变和突变是现有STF方法的主要挑战。(Gradual and abrupt changes in land surface reflectance images are the main challenges in existing STF methods.) 提出了多尺度双流卷积神经网络,在...
Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Image from:TGRS,2022 动机 空间光谱融合(Spatiospectral fusion)和时空融合(Spatiotemporal fusion)仅用于融合来自两个空间、时间和光谱域的信息。→ 时空谱融合
Remote sensing image spatiotemporal fusion algorithm Remote sensing image spatialtemporal fusion algorithm for MODIS generation of Landsat-7, Landsat-8 and GF-1 input : F: landsat M: modis label_mask = F2 + MASK(cloud:1, nocloud:0) , total 7bands landsat_modis = train = 6bands F1 + 6...
The proposed integrated fusion framework was comprehensively tested and verified in a variety of image fusion experiments. In the experiments, a number of different remote sensing satellites were utilized, including IKONOS, the Enhanced Thematic Mapper Plus (ETM+), the Moderate Resolution Imaging ...
However, many scientific studies demonstrate that visual perception in primates rely on both bottom-up an... N Imamoglu,M Kimura,H Miyamoto,... 被引量: 1发表: 2017年 A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion DEEP learningREMOTE sensingIMAGE fusionREMOTE-sensing images...
【Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions】多源遥感数据的时空融合:文献调查、分类、准则、应用和未来方向 摘要 具有高空间分辨率的卫星时间序列对于监测异质地貌中的地表动态至关重要。尽管近年来遥感技术经历了快速发展,但...
Stein Spatiotemporal Image Fusion in Remote Sensing Remote Sens-Basel., 11 (2019), 10.3390/rs11070818 Google Scholar Berry et al., 2007 P.A.M. Berry, J.D. Garlick, R.G. Smith Near-global validation of the SRTM DEM using satellite radar altimetry Remote Sens. Environ., 106 (2007), ...