On the accuracy of estimation of ice type concentration from ERS-1 SAR images
Abstract
A segment-based parameter retrieval algorithm for estimating the ice type concentration from ERS-1 SAR data is presented. The algorithm is based on an edge detection, region growing approach together with segment characterization by backscatter coefficient and texture parameters. A refined method for edge thinning is presented. The algorithm runs fully automatic and it performs well in pack ice images, whereas it needs some tuning for ice edge images. The ice concentration may be obtained by an accuracy of at least 10 %. Comparison with SSM/I data shows fairly good agreement.
Fields of Study & Subjects
Arctic and Antarctic ice dynamics
Cryospheric studies and observations
Remote-Sensing Image Classification
Publication details
- Journal / source
- CRC Press eBooks
- Pages
- 219–226
- Publication date
- 2 February 2026
- Language
- EN
- Document type
- Book chapter