ChatEarthNet: A Global-Scale, High-Quality Image-Text Dataset for Remote Sensing

arXiv:2402.11325v1 Announce Type: new
Abstract: An in-depth comprehension of global land cover is essential in Earth observation, forming the foundation for a multitude of applications. Although remote sensing technology has advanced rapidly, leading to a proliferation of satellite imagery, the inherent complexity of these images often makes them difficult for non-expert users to understand. Natural language, as a carrier of human knowledge, can be a bridge between common users and complicated satellite imagery. In this context, we introduce a global-scale, …

abstract advanced applications arxiv complexity cs.cv dataset earth earth observation expert foundation global image images observation quality satellite scale sensing technology text them type