Change Detection Based on Low-Level to High-Level Features Integration With Limited Samples

Change Detection Based on Low-Level to High-Level Features Integration With Limited Samples

Detailed land cover change in multitemporal images is an important application for earth science. Many techniques have been proposed to solve this problem in different ways. However, accurately identifying changes still remains a challenge due to the difficulties in describing the characteristics of...

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Bibliographic Details
Main Authors:	Xin Wang, Peijun Du, Dongmei Chen, Sicong Liu, Wei Zhang, Erzhu Li
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Active learning attribute profiles (APs) change detection convolutional neural network (CNN) multilevel feature object feature
Online Access:	https://ieeexplore.ieee.org/document/9216597/

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