Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks

Research article (Remote Sensing, 2020) · cited 14× · AI/ML
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Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks

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Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/spectral-imagery-tensor-decomposition-for-semantic-segmentation-of-remote-sensing-data-through-fully-convolutional-netwo
MLA “Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spectral-imagery-tensor-decomposition-for-semantic-segmentation-of-remote-sensing-data-through-fully-convolutional-netwo.
BibTeX @misc{4ortxyz_spectral-imagery-tensor-decomposition-for-semantic-segmentation-of-remote-sensing-data-through-fully-convolutional-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks}}, year = {2026}, url = {https://4ort.xyz/entity/spectral-imagery-tensor-decomposition-for-semantic-segmentation-of-remote-sensing-data-through-fully-convolutional-netwo}, note = {Accessed: 2026-05-24}}
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