The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …

Remote sensing provides valuable information about objects and areas from a distance in
either active (eg, radar and lidar) or passive (eg, multispectral and hyperspectral) modes …

深度学习技术近年来在合成孔径雷达(SAR) 图像解译领域发展迅速, 但当前基于数据驱动的方法
通常忽视了SAR 潜在的物理特性, 预测结果高度依赖训练数据, 甚至违背了物理认知 …

With climate change and the increment of human activities, global permafrost is undergoing
degradation, threatening the stability of engineering and the ecological environment of the …

Interferometric synthetic aperture radar (InSAR) is a radar technique widely used in geodesy
and remote sensing applications, eg, topography reconstruction and subsidence estimation …

Multibaseline (MB) phase unwrapping (PU) is a vital processing procedure for MB synthetic
aperture radar interferometry (InSAR) signal processing and can improve the traditional …

Phase unwrapping (PU) is among the most critical tasks in synthetic aperture radar (SAR)
interferometry (InSAR). Due to the presence of noise, the interferogram usually presents …

Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as
deformation monitoring and topographic mapping, require an interferometric phase filtering …

Interferometric phase denoising is a vital procedure for interferometric synthetic aperture
radar (InSAR)-based remote sensing techniques because it can improve the accuracy of the …

Rice (Oryza sativa L.) is a staple food crop for more than half of the world's population. Rice
production is facing a myriad of problems, including water shortage, climate, and land-use …