A neural network approach to estimating rainfall from spaceborne microwave data
Authors:
- D. TsintikidisDTD. Tsintikidis
- J.L. HafermanJHJ.L. Haferman
- E.N. AnagnostouEAE.N. Anagnostou
- W.F. KrajewskiWKW.F. Krajewski
- T.F. SmithTST.F. Smith
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 35 (5) , 1079-1093
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- Physically Based Satellite Retrieval of Precipitation Using a 3D Passive Microwave Radiative Transfer ModelJournal of Atmospheric and Oceanic Technology, 1996
- Comparison of neural networks and regression-based methods for temperature retrievalsApplied Optics, 1995
- Three-Dimensional Aspects of Radiative Transfer in Remote Sensing of Precipitation: Application to the 1986 COHMEX StormJournal of Applied Meteorology and Climatology, 1994
- The first WetNet precipitation intercomparison project (PIP‐1)Remote Sensing Reviews, 1994
- Precipitation Controls in Southern Mexico1994
- How Neural Networks Learn from ExperienceScientific American, 1992
- SSM/I instrument evaluationIEEE Transactions on Geoscience and Remote Sensing, 1990
- Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing, 1990
- On hidden nodes for neural netsIEEE Transactions on Circuits and Systems, 1989
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987