A Change Detection Method Based on Multi-Scale Adaptive Convolution Kernel Network and Multimodal Conditional Random Field for Multi-Temporal Multispectral Images

A Change Detection Method Based on Multi-Scale Adaptive Convolution Kernel Network and Multimodal Conditional Random Field for Multi-Temporal Multispectral Images

Multispectral image change detection is an important application in the field of remote sensing. Multispectral images usually contain many complex scenes, such as ground objects with diverse scales and proportions, so the change detection task expects the feature extractor is superior in adaptive mu...

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Bibliographic Details
Main Authors: Shou Feng, Yuanze Fan, Yingjie Tang, Hao Cheng, Chunhui Zhao, Yaoxuan Zhu, Chunhua Cheng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
multispectral images
change detection
convolution kernel
multi-scale adaptation
Online Access:https://www.mdpi.com/2072-4292/14/21/5368

Internet

https://www.mdpi.com/2072-4292/14/21/5368

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