Optical Remote Sensing Image

Optical remote sensing image analysis focuses on extracting meaningful information from satellite imagery to understand Earth's surface features and changes. Current research heavily utilizes deep learning, employing architectures like convolutional neural networks (CNNs), transformers, and diffusion models for tasks such as object detection, segmentation (including cloud and snow removal), and change detection. These advancements enable improved monitoring of deforestation, sea ice, and urban development, as well as more accurate mapping of land cover and 3D scene reconstruction, impacting various fields including environmental science, urban planning, and climate change research.