A Novel Phase Unwrapping Method for Low Coherence Interferograms in Coal Mining Areas Based on a Fully Convolutional Neural Network

Subsidence caused by underground coal mining activities seriously threatens the safety of surface buildings, and interferometric synthetic aperture radar has proven to be one effective tool for subsidence monitoring in mining areas. However, the environmental characteristics of mining areas and the...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Yu Yang, Bingqian Chen, Zhenhong Li, Chen Yu, Chuang Song, Fengcheng Guo
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2024-01-01
Saila:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Gaiak:	Decorrelation deep learning interferometric synthetic aperture radar (InSAR) mining subsidence phase unwrapping
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10319361/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!