A Learning Framework With Multispectral Band-Differentiated Encoding for Remote Sensing Water Body Detection-Reference-Cited by-同舟云学术

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A Learning Framework With Multispectral Band-Differentiated Encoding for Remote Sensing Water Body Detection

Published:2024 Issue: Volume:17 Page:6278-6289
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wei Debin¹^ORCID,Xie Hongji¹^ORCID,Li Pinru¹^ORCID,Xu Yongqiang¹^ORCID

Affiliation:

1. Communication and Network Laboratory, Dalian University, Dalian, China

Funder

Dalian Youth Science and Technology Star Program

Interdisciplinary Project of Dalian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10528665.pdf?arnumber=10528665

Reference39 articles.

1. Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery

2. Water Body Detection in High-Resolution SAR Images With Cascaded Fully-Convolutional Network and Variable Focal Loss

3. Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection

4. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features

5. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

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