Research on Land Use and Land Cover Information Extraction Methods for Remote Sensing Images Based on Improved Convolutional Neural Networks

To address the challenges that convolutional neural networks (CNNs) face in extracting small objects and handling class imbalance in remote sensing imagery, this paper proposes a novel spatial contextual information and multiscale feature fusion encoding–decoding network, SCIMF-Net. Firstly, SCIMF-N...

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Bibliographic Details
Main Authors: Xue Ding, Zhaoqian Wang, Shuangyun Peng, Xin Shao, Ruifang Deng
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/13/11/386
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