Cross-Attention Guided Group Aggregation Network for Cropland Change Detection-Reference-Cited by-同舟云学术

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Cross-Attention Guided Group Aggregation Network for Cropland Change Detection

Published:2023-06-15 Issue:12 Volume:23 Page:13680-13691
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xu Chuan¹,Ye Zhaoyi¹^ORCID,Mei Liye¹,Shen Sen²,Sun Shaohua³,Wang Ying⁴,Yang Wei⁴

Affiliation:

1. School of Computer Science, Hubei University of Technology, Wuhan, China

2. School of Weapon Engineering, Naval Engineering University, Wuhan, China

3. Unit 91049, Qingdao, China

4. School of Information Science and Engineering, Wuchang Shouyi University, Wuhan, China

Funder

National Natural Science Foundation of China

Hubei University of Technology through the Scientific Research Foundation for Doctoral Program

Guangxi Science and Technology Major Project

Science and Technology Research Project of Education Department of Hubei Province

Natural Science Foundation of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10152544/10115288.pdf?arnumber=10115288

Reference56 articles.

1. Evaluating the temporal accuracy of grassland to cropland change detection using multitemporal image analysis

2. Global cropping intensity gaps: Increasing food production without cropland expansion

3. Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

4. Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images

5. Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications

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