Retrieval of Land Surface Temperature From Passive Microwave Observations Using CatBoost-Based Adaptive Feature Selection
Passive microwave (PMW) remote sensing is increasingly employed for generating seamless all-weather land surface temperature (LST) data due to its ability to penetrate cloud cover and capture the actual surface conditions underneath. Existing PMW retrieval methods often utilize large amounts of remo...
Saved in:
Main Authors: | Yang Dai, Yingbao Yang, Xin Pan, Penghua Hu, Xiangjin Meng, Fanggang Li, Zhenwei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10849807/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
by: Cihan Kuzudisli, et al.
Published: (2025-02-01) -
AN EXAMINATION OF CONJUGATIONAL SUFFIXES OF PASSIVE CONSTRUCTIONS IN FULFULDE
by: YAHAYA MOHAMMED AHMED
Published: (2024-07-01) -
Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam
by: Mohammad Teddy Syamkalla, et al.
Published: (2024-08-01) -
Comparison of Airborne Bacterial Populations Determined by Passive and Active Air Sampling at puy de Dôme, France
by: Kevin P. Dillon, et al.
Published: (2023-01-01) -
Analysis of passivity problems in the baltic equity market
by: Igoris Belovas, et al.
Published: (2023-09-01)