The deep learning, which is a dominating technique in artificial intelligence, has completely
changed the image understanding over the past decade. As a consequence, the sea ice …

Deep learning, which is a dominating technique in artificial intelligence, has completely
changed image understanding over the past decade. As a consequence, the sea ice …

Seismic velocity is crucial for seismic waveform inversion in geological exploration. An
accurate velocity model is a key prerequisite for reverse time migration and other high …

The deep learning technique has already been successfully applied in the field of
microwave remote sensing. Especially, convolutional neural networks have demonstrated …

Harvesting robots had difficulty extracting filament phenotypes for small, numerous
filaments, heavy cross-obscuration, and similar phenotypic characteristics with organs …

Velocity model building is crucial for seismic exploration, yet conventional methods struggle
with complex geological scenarios due to assumptions of horizontal layering. These …

摘要系统性地回顾与探讨了人工智能方法在卫星大数据挖掘领域的研究与应用,
着重分析了这些技术如何有效提升数据处理的效率和精度. 介绍了卫星领域的发展背景和卫星大 …

Optical remote sensing is the major means of monitoring sea ice, which is beneficial for
waterway planning, disaster prevention, and environmental research. Currently, a large …

To effectively solve the accurate identification of gray ice, melt ponds water, floe, brash ice,
and thin ice in the melting state of the Arctic Sea ice during summer, we propose adding a …

Sea ice mapping is crucial for comprehending climate dynamics and environmental
transformations in polar regions. This review assesses the efficacy of aerial and ground …