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Found 2 papers, 1 papers with code
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models
In this paper, a conditional DDPM model capable of taking a semantic map and generating high-quality, diverse, and correspondingly accurate satellite images is implemented.
Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques
The dataset used consists of pan-sharpened orthorectified Azersky images (red, green, blue, and near infrared channels) with 1. 5-meter resolution and annotation masks, collected from 15 regions in Azerbaijan where the greenhouses are densely congested.
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