MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing

MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing

The analysis of land cover using deep learning techniques plays a pivotal role in understanding land use dynamics, which is crucial for land management, urban planning, and cartography. However, due to the complexity of remote sensing images, deep learning models face practical challenges in the pre...

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Bibliographic Details
Main Authors: Hang Yu, Weidong Song, Bing Zhang, Hongbo Zhu, Jiguang Dai, Jichao Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Land
Subjects:
land cover classification
remote sensing image extraction
image stitching
multi-scale feature fusion
local energy features
Gaussian and Laplacian pyramids
Online Access:https://www.mdpi.com/2073-445X/13/11/1842
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