A new method for the extraction of tailing ponds from very high-resolution remotely sensed images: PSVED

A new method for the extraction of tailing ponds from very high-resolution remotely sensed images: PSVED

Automatic extraction of tailing ponds from Very High-Resolution (VHR) remotely sensed images is vital for mineral resource management. This study proposes a Pseudo-Siamese Visual Geometry Group Encoder-Decoder network (PSVED) to achieve high accuracy tailing ponds extraction from VHR images. First,...

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Bibliographic Details
Main Authors: Chengye Zhang, Jianghe Xing, Jun Li, Shouhang Du, Qiming Qin
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Digital Earth
Subjects:
semantic segmentation
tailing storage facilities
pseudo-siamese network
vhr images
deep supervision mechanism
Online Access:http://dx.doi.org/10.1080/17538947.2023.2234338

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