For the emerging online methods in remote sensing, modeling the at-sensor radiance of target material, i.e., a forward modeling (FM) approach, can be used. Compared to the IM approach, FM is better suited to online methods due to its potential for adaptation to regional atmospheric modeling...
“Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification.” In Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images, 277–323. Cham: Springer....
Early detection of hurricanes origin in oceans with remote sensing methods and information modeling technologies The combination of microwave remote sensing methods and information modeling technologies proved to be an effective way of problems solution in early detec... AG Grankov,SP Golovachev,VF Kr...
S Skrunes,C Brekke,T Eltoft - 《IEEE Transactions on Geoscience & Remote Sensing》 被引量: 111发表: 2014年 On the use of multi-frequency and polarimetric radar backscatter features for classification of agricultural crops The significance of several key multi-frequency, polarimetric back-scatter ...
spaceborne remote sensing techniques, especially interferometric synthetic aperture radar (InSAR), have been shown to be capable of monitoring the stability of dams and surrounding infrastructures (Milillo et al., 2016). Compared with conventional methods, InSAR technology is independent of ground equipmen...
Similarly, the distributions between the methods reveal a see-saw shift over both ratios in Dhaka, leading to more representation of coated aerosols and a simultaneous decrease in cores with less coating. Such characteristics are associated with both less efficient combustion and more in-situ atmosphe...
Rodgers, C; Inverse Methods for Atmospheric Sounding: Theory and Practice, World Scientific Publishing, Series on Atmospheric, Oceanic and Planetary Physics, Vol. 2, Singapore, 2000. Sandu, A; Daescu, D; Carmichael, G; "Direct and Adjoint Sensitivity Analysis of Chemical Kinetic Systems with ...
Remote SensingAdvanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards ManagementAdvanced Machine Learning Approaches for Hyperspectral Data AnalysisAdvanced Radar Signal Processing and ApplicationsAdvanced Remote Sensing Methods for 3D Vegetation Mapping and CharacterizationAdvanced ...
Our work introduces a novel method to achieve real-time condition monitoring and fault detection for offshore wind turbines by combining signal-processing methods with remote sensing. The reliability of the monitoring system is enhanced by conducting all the data processing and analysis on the ...
Each community has different needs, methods, lan- guages, and protocols in order to understand a wealth of heterogeneous data provided in different structures and formats. Although the mission of space-based data providers is to provide stand-alone information on bio-geophysical parameters, and ...