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Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks
Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks
Summary
Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks is a scholarly article[1].
Key Facts
Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-image-classification-using-an-encoder-decoder-model-with-depthwise-separable-convolution-squeeze-and-excit
MLA“Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-image-classification-using-an-encoder-decoder-model-with-depthwise-separable-convolution-squeeze-and-excit.
BibTeX@misc{4ortxyz_hyperspectral-image-classification-using-an-encoder-decoder-model-with-depthwise-separable-convolution-squeeze-and-excit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-image-classification-using-an-encoder-decoder-model-with-depthwise-separable-convolution-squeeze-and-excit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks — https://4ort.xyz/entity/hyperspectral-image-classification-using-an-encoder-decoder-model-with-depthwise-separable-convolution-squeeze-and-excit (retrieved 2026-05-24)
