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Remote sensing imagery has attracted significant attention in recent years due to its instrumental role in global environmental monitoring, land usage monitoring, and more.
The isprs benchmark on urban object classification and 3d building reconstruction
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A comprehensive review on water quality parameters estimation using remote sensing techniques
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Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
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Fully convolutional networks for semantic segmentation of very high resolution remotely sensed images combined with dsm
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A review of deep learning methods for semantic segmentation of remote sensing imagery
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Convolutional neural network for the semantic segmentation of remote sensing images
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation
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Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery
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Swin transformer embedding unet for remote sensing image semantic segmentation
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Unetformer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
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Sparks of artificial general intelligence: Early experiments with gpt-4
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Geo-knowledge-guided gpt models improve the extraction of location descriptions from disaster-related social media messages
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Croma: Remote sensing representations with contrastive radar-optical masked autoencoders
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