Back to Search
Start Over
Estimation of freeze-thaw dates of a high latitude small lake using statistical analysis of SAR images
- Source :
- 2009 IEEE Radar Conference.
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- The aim of this paper is to estimate freeze-thaw dates of a small lake using Synthetic Aperture Radar (SAR) images. Here, the estimation of freeze-thaw dates is restated as a classification problem wherein each SAR image in the time series is classified as an ‘ice’ or ‘no ice’ image based on the presence or absence of ice on the lake. We implement and compare different methods consisting of various feature extraction algorithms and nonparametric classification schemes. We obtain the best classification accuracy using histogram information from SAR images applied to a Random Forest classifier. Correct classification rate in the range of 90% is seen in this case and a standard median filter is used to estimate the freeze-thaw dates from the classifier output. We also extend our analysis to the use of texture features and local statistics in solving this problem.
- Subjects :
- Synthetic aperture radar
business.industry
Feature extraction
Pattern recognition
Random forest
Statistical classification
Computer Science::Graphics
Image texture
Histogram
Radar imaging
Median filter
Artificial intelligence
business
Physics::Atmospheric and Oceanic Physics
Geology
Remote sensing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 IEEE Radar Conference
- Accession number :
- edsair.doi...........479e689cd6bc084f38d6c8db3c9ce666