In medical diagnosis, the precise and prompt identification of diseases is crucial for effective
treatment and optimal patient care. As medical data grows increasingly complex, there's an …

Remotely sensed images with low resolution can be effectively used for the large-area
monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring …

The optimum allocation of land resources is an important process that promotes the
intensive use of land resources and facilitates sustainable development. The main land-use …

Introduction Land use classification plays a critical role in analyzing land use/cover change
(LUCC). Remote sensing land use classification based on machine learning algorithm is …

Accurate ice segmentation is one of the most crucial techniques for intelligent ice monitoring.
Compared with ice segmentation, it can provide more information for ice situation analysis …

Abstract Karst Rocky Desertification (KRD) has become the most serious ecological disaster
in Southwest China. We used the data of Thematic Mapper (TM) images from 1990, 1995 …

Sediment-laden sea ice is a ubiquitous phenomenon in the Arctic Ocean and its marginal
seas. This study presents a satellite-based approach at quantifying the distribution of …

Sea ice distribution is an important indicator of ice conditions and regional climate change in
the Bohai Sea (China). In this study, we monitored the spatiotemporal distribution of the …

Sea ice thickness is a crucial parameter for monitoring and studying sea ice in the Bohai
Sea. Aiming to get more reliable data conveniently, we improved the ice thickness retrieval …

Sea ice is the main cause of winter marine disasters in the Bohai Sea, which is an important
sea area in China. The sea ice in the Bohai Sea is easily deformed by strong water currents …