Results 11 to 20 of about 86,516 (266)
Seamless Satellite‐image Synthesis [PDF]
AbstractWe introduce Seamless Satellite‐image Synthesis (SSS), a novel neural architecture to create scale‐and‐space continuous satellite textures from cartographic data. While 2D map data is cheap and easily synthesized, accurate satellite imagery is expensive and often unavailable or out of date.
Jialin Zhu 0001, Tom Kelly
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Image Augmentation for Satellite Images
This study proposes the use of generative models (GANs) for augmenting the EuroSAT dataset for the Land Use and Land Cover (LULC) Classification task. We used DCGAN and WGAN-GP to generate images for each class in the dataset. We then explored the effect of augmenting the original dataset by about 10% in each case on model performance.
Oluwadara Adedeji +3 more
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Satellite image search in AgoraEO
The growing operational capability of global Earth Observation (EO) creates new opportunities for data-driven approaches to understand and protect our planet. However, the current use of EO archives is very restricted due to the huge archive sizes and the limited exploration capabilities provided by EO platforms.
Ahmet Kerem Aksoy +7 more
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Satellite Image Semantic Segmentation
8 pages, 3 ...
Guérin, Eric +3 more
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Correlation Based Imaging for Rotating Satellites [PDF]
arXiv admin note: text overlap with arXiv:2003 ...
Leibovich, Matan +2 more
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STUDY ON MOSAIC AND UNIFORM COLOR METHOD OF SATELLITE IMAGE FUSION IN LARGE SREA [PDF]
Due to the improvement of satellite radiometric resolution and the color difference for multi-temporal satellite remote sensing images and the large amount of satellite image data, how to complete the mosaic and uniform color process of satellite images ...
S. Liu, H. Li, X. Wang, L. Guo, R. Wang
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Porphyry copper deposits are accompanied by extensive aureoles of hydrothermally altered rocks which make it possible to detect them on satellite images in the absence of vegetation.
Hamza A. Mahmoud +4 more
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A Hierarchical Sorting Swarm Optimizer for Large-Scale Optimization
Large-scale optimization is a challenging problem because it involves a large number of decision variables. In this paper, a simple but effective method, called hierarchical sorting swarm optimizer (HSSO), is proposed for large-scale optimization.
Rushi Lan +4 more
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ROAD NETWORK IDENTIFICATION AND EXTRACTION IN SATELLITE IMAGERY USING OTSU'S METHOD AND CONNECTED COMPONENT ANALYSIS [PDF]
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images.
P. Yadav, S. Agrawal
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Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
Since the traditional adaptive enhancement algorithm of high-resolution satellite images has the problems of poor enhancement effect and long enhancement time, an adaptive enhancement algorithm of high-resolution satellite images based on feature fusion ...
Ruizhe Wang, Wang Xiao
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