Projects per year
Abstract
The extraction of river planforms from remotely sensed satellite images is a task of crucial importance to many applications such as land planning, water resource monitoring or flood prediction. In this paper we present a novel framework
for the extraction of rivers from Synthetic Aperture Radar (SAR) images, based on superpixel segmentation and subsequent classification. Superpixel segmentation is achieved via a modelling of the image pixels’ amplitudes and spatial coordinates as a finite mixture model, where the Generalised Gamma distribution is used to accurately model a variety of high-resolution SAR
scenes. A number of features describing texture and statistics are extracted on a superpixel level, facilitating the identification of river superpixels - planforms are then extracted via unsupervised, agglomerative clustering thus eliminating the need for labelled training data. We present results of our proposed method on ICEYE-X2 and SENTINEL-1 SAR data demonstrating its ability to produce pixel-accurate river masks.
for the extraction of rivers from Synthetic Aperture Radar (SAR) images, based on superpixel segmentation and subsequent classification. Superpixel segmentation is achieved via a modelling of the image pixels’ amplitudes and spatial coordinates as a finite mixture model, where the Generalised Gamma distribution is used to accurately model a variety of high-resolution SAR
scenes. A number of features describing texture and statistics are extracted on a superpixel level, facilitating the identification of river superpixels - planforms are then extracted via unsupervised, agglomerative clustering thus eliminating the need for labelled training data. We present results of our proposed method on ICEYE-X2 and SENTINEL-1 SAR data demonstrating its ability to produce pixel-accurate river masks.
Original language | English |
---|---|
Pages (from-to) | 1-14 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
DOIs | |
Publication status | Published - 10 Aug 2020 |
Keywords
- rivers
- synthetic aperture radar
- image segmentation
- remote sensing
- task analysis
- monitoring
- earth
- Generalized Gamma distribution (GΓD)
- river detection
- superpixels
- synthetic aperture radar (SAR) data
Fingerprint
Dive into the research topics of 'River Planform Extraction From High-Resolution SAR Images Via Generalised Gamma Distribution Superpixel Classification'. Together they form a unique fingerprint.Projects
- 1 Finished
-
AssenSAR - Assessment of Sea Surface Signatures for Naval Platforms Using SAR Imagery
Achim, A. (Principal Investigator)
1/01/18 → 31/12/21
Project: Research