Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. J Appl Remote Sens, 2012, 6: 063507 修正的时空数据融合方法通过使用自适应窗口大小选择方法选择最佳窗口大小和移动步骤对粗大像素进行分解来改进STD...
Spatio-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 decade, STF has drawn a lot of attention and many STF methods have been develo...
设计的异构集成融合框架由forward fusion(前向融合部分)和backward degeneration feedback(后向退化反馈)部分组成,其中从前部分的输入到后部分的输出形成循环一致性约束。 (ps:该异构集成融合框架可以有效地缓解土地覆盖变化和厚云覆盖这两个瓶颈,不仅可以预测目标时间的HR图像,还可以预测目标时间的变化。) --- 模型 流...
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion Paper (CVPR 2021):arXiv-CVF Presentation (5 min.):YouTube DeepVideoMVSis a learning-based online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previou...
Meanwhile, the spatiotemporal fusion module employs a dual attention mechanism, decomposing spatial attention into global static attention and channel dynamic attention. This approach ensures comprehensive extraction of spatial features from meteorological data. The combination of these modules significantly ...
The proposed MFSDAF model was validated by using the correlation coefficient (r), relative root mean square error (RRMSE), and structural similarity (SSIM), and was then compared with the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and FSDAF models. Results show that...
A novel framework to assess all-round performances of spatiotemporal fusion models abstract 问题:常用的评估指标并未全面涵盖时空融合图像质量的多个方面,包含冗余信息,并且在不同研究领域之间没有可比性。 贡献: 根据评估标准,选择了RMSE、AD、Edge和局部二元模式 (LBP)四个准确度指标作为最佳评估指标集。这些指标...
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. EMVD is an efficient video denoising method which recursively exploit the spatio temporal correlation inherently present in natural videos through multiple cascading processing stages applied in a recurrent fashion, namely temporal ...
(3D CNNs) to design more powerful spatiotemporal learning backbones. Among many others, spatiotemporal fusion is one of the essentials. It controls how spatial and temporal signals are extracted at each layer during inference. Previous attempts usually start by ad-hoc designs that empirically ...
【时空融合】Spatiotemporal Fusion in 3D CNNs: A Probabilistic View #CVPR 2020# 本文由MSRA发表于CVPR 2020。时空融合(Spatiotemporal fusion)是三维卷积神经网络(3D CNNs)的关键要素,它决定了网络前馈...