Land Cover Change Detection With VHR Satellite Imagery Based on Multi-Scale SLIC-CNN and SCAE Features

Land Cover Change Detection With VHR Satellite Imagery Based on Multi-Scale SLIC-CNN and SCAE Features

Change detection with very high resolution (VHR) satellite images is of great application values when evaluating and monitoring land use changes. However, intrinsic complexity of satellite images will introduce more difficulties to change detection tasks. In this study, a new change detection method...

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Bibliographic Details
Main Authors: Ran Jing, Zhaoning Gong, Hongliang Guan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Change detection
image segmentation
multi-scale simple linear iterative clustering-convolutional neural network (SLIC-CNN)
stacked convolutional auto-encoder (SCAE)
VHR satellite imagery
Online Access:https://ieeexplore.ieee.org/document/9298743/

Internet

https://ieeexplore.ieee.org/document/9298743/

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