Multiobjective Memetic Spatiotemporal Subpixel Mapping for Remote Sensing Imagery-Reference-Cited by-同舟云学术

Multiobjective Memetic Spatiotemporal Subpixel Mapping for Remote Sensing Imagery

Published:2023 Issue: Volume:61 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ma Ailong¹^ORCID,Zhou Wen¹^ORCID,Song Mi²,Zhong Yanfei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

2. Space and Earth Interdisciplinary Center, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10258340.pdf?arnumber=10258340

Reference48 articles.

1. Sub-pixel Mapping of Remote Sensing Image Based on MAP model

2. Hybridization of Decomposition and Local Search for Multiobjective Optimization

3. Geostatistical Solutions for Super-Resolution Land Cover Mapping

4. Memetic algorithms and memetic computing optimization: A literature review

5. Land Cover Change Mapping at the Subpixel Scale With Different Spatial-Resolution Remotely Sensed Imagery

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