Bibliography

doi:10.1002/9780470611111.biblio

Cited by 2 publications

(1 citation statement)

References 174 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to understand the Wadden Sea dynamics, we exploited a number of recent publications already using remote sensing images and addressing the issue of SAR satellite image classification and interpretation [16,17] in these coastal areas.…”

Section: Topics In Radar Signal Processingmentioning

confidence: 99%

Analysis of Coastal Areas Using SAR Images: A Case Study of the Dutch Wadden Sea Region

Dumitru¹,

Schwartz²,

Espinoza-Molina³

et al. 2018

Topics in Radar Signal Processing

View full text Add to dashboard Cite

The increased availability of civil synthetic aperture radar (SAR) satellite images with different resolution allows us to compare the imaging capabilities of these instruments, to assess the quality of the available data and to investigate different areas (e.g., the Wadden Sea region). In our investigation, we propose to explore the content of TerraSAR-X and Sentinel-1A satellite images via a data mining approach in which the main steps are patch tiling, feature extraction, classification, semantic annotation and visual-statistical analytics. Once all the extracted categories are mapped and quantified, then the next step is to interpret them from an environmental point of view. The objective of our study is the application of semi-automated SAR image interpretation. Its novelty is the automated multiclass categorisation of coastal areas. We found out that the northwest of the Netherlands can be interpreted routinely as land surfaces by our satellite image analyses, while for the Wadden Sea, we can discriminate the different water levels and their impact on the visibility of the tidal flats. This necessitates a selection of time series data spanning a full tidal cycle.

show abstract

Section: Topics In Radar Signal Processingmentioning

confidence: 99%

Analysis of Coastal Areas Using SAR Images: A Case Study of the Dutch Wadden Sea Region

Dumitru¹,

Schwartz²,

Espinoza-Molina³

et al. 2018

Topics in Radar Signal Processing

View full text Add to dashboard Cite

show abstract

Remote Sensing for Non‐Technical Survey

Yvinec¹,

Milisavljević²,

Beumier³

et al. 2017

Mine Action - The Research Experience of the Royal Military Academy of Belgium

View full text Add to dashboard Cite

This chapter describes the research activities of the Royal Military Academy on remote sensing applied to mine action. Remote sensing can be used to detect specific features that could lead to the suspicion of the presence, or absence, of mines. Work on the automatic detection of trenches and craters is presented here. Land cover can be extracted and is quite useful to help mine action. We present here a classification method based on Gabor filters. The relief of a region helps analysts to understand where mines could have been laid. Methods to be a digital terrain model from a digital surface model are explained. The special case of multi-spectral classification is also addressed in this chapter. Discussion about data fusion is also given. Hyper-spectral data are also addressed with a change detection method. Synthetic aperture radar data and its fusion with optical data have been studied. Radar interferometry and polarimetry are also addressed.

show abstract

Bibliography

Cited by 2 publications

References 174 publications

Analysis of Coastal Areas Using SAR Images: A Case Study of the Dutch Wadden Sea Region

Analysis of Coastal Areas Using SAR Images: A Case Study of the Dutch Wadden Sea Region

Remote Sensing for Non‐Technical Survey

Contact Info

Product

Resources

About