Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor
Remote-sensing platforms are often comprised of a cluster of different spectral range detectors or sensors to benefit from the spectral identification capabilities of each range. Missing data from these platforms, caused by problematic weather conditions, such as clouds, sensor failure, low temporal...
Main Authors: | Gila Notesco, Eyal Ben-Dor, Simon Adar, Yoel Shkolnisky |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2013-11-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/5/11/5757 |
Similar Items
-
Temporal and Spatial Nearest Neighbor Values Based Missing Data Imputation in Wireless Sensor Networks
by: Yulong Deng, et al.
Published: (2021-03-01) -
Privacy-Preserving Vertical Federated KNN Feature Imputation Method
by: Wenyou Du, et al.
Published: (2024-01-01) -
Nonparametric Estimation of ROC Surfaces Under Verification Bias
by: Khanh To Duc, et al.
Published: (2020-10-01) -
Analysis and Impact Evaluation of Missing Data Imputation in Day-ahead PV Generation Forecasting
by: Taeyoung Kim, et al.
Published: (2019-01-01) -
KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors
by: Jeong-Hun Kim, et al.
Published: (2021-01-01)