Spatial Quality Enhancement for Wide View Angle Images: A Sensor-Specific Preprocessing Algorithm Case Study on FY-3D MERSI-II-Reference-Cited by-同舟云学术

Spatial Quality Enhancement for Wide View Angle Images: A Sensor-Specific Preprocessing Algorithm Case Study on FY-3D MERSI-II

Published:2024 Issue: Volume:62 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:

Miao Shunxia¹^ORCID,Sun Kaimin¹^ORCID,Li Wenzhuo¹,Hu Xiuqing²^ORCID,Lv Fangyi¹,Bian Zhiqiang³,Li Wangbin¹^ORCID,Wei Jingjiang¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, National Satellite Meteorological Center, Beijing, China

3. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Jiangsu, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China Projects

Fengyun Application Pioneering Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10494580.pdf?arnumber=10494580

Reference49 articles.

1. Foreword to the Special Issue on The Recent Progress in Quantitative Land Remote Sensing: Modeling and Estimation

2. Spatio-temporal-spectral observation model for urban remote sensing

3. Graph Convolutional Networks for Hyperspectral Image Classification

4. LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection

5. Land Surface Temperature and Emissivity Retrieval from Nighttime Middle and Thermal Infrared Images of Chinese Fengyun-3D MERSI-II