Extreme Self-Paced Learning Machine for On-Orbit SAR Images Change Detection

Extreme Self-Paced Learning Machine for On-Orbit SAR Images Change Detection

With the rapid development of earth observation satellites, on-orbit data processing is becoming more and more desirable. In this paper, a new on-orbit change detection method for Synthetic Aperture Radar (SAR) images, is proposed via an Extreme Self-paced Learning Machine (ESLM). First, a reflectiv...

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Bibliographic Details
Main Authors: Shuyuan Yang, Zhi Liu, Quanwei Gao, Yuteng Gao, Zhixi Feng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Change detection
synthetic aperture radar
extreme self-paced learning machine
affinity propagation super-pixel clustering
manifold regularizer
Online Access:https://ieeexplore.ieee.org/document/8796343/

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