Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery

Research article (Journal of Applied Remote Sensing, 2018) · cited 74× · AI/ML
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Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery

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Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-convolutional-neural-network-to-identify-irregular-segmentation-objects-from-very-high-resolution-remote-sensing-i
MLA “Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-convolutional-neural-network-to-identify-irregular-segmentation-objects-from-very-high-resolution-remote-sensing-i.
BibTeX @misc{4ortxyz_using-convolutional-neural-network-to-identify-irregular-segmentation-objects-from-very-high-resolution-remote-sensing-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery}}, year = {2026}, url = {https://4ort.xyz/entity/using-convolutional-neural-network-to-identify-irregular-segmentation-objects-from-very-high-resolution-remote-sensing-i}, note = {Accessed: 2026-05-24}}
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