Information extraction from spaceborne SAR data of up to 64-image depth image stacks.
Publicerad
Författare
Typ
Examensarbete för masterexamen
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The spatial statistics of synthetic aperture radar (SAR) images of the Earth’s surface
have been extensively studied in the past. Recent commercial projects from several
companies will provide a lot of high quality and importantly high quantity of SAR
satellite data, which enables the analysis of the SAR images in time (temporal)
instead. This thesis has investigated two different image stacks, containing 28 and 64
images respectively, of SAR intensity data. The investigation has focused on how the
statistical distributions in time can be characterized. The temporal SAR data have
been tested against eight different target distribution models with the Anderson-
Darling goodness-of-fit test. The use of the Anderson-Darling test together with
looking for spatial patterns have allowed for comparison of how well the target
distribution models fit, even with a limited number of images available.
Both statistical and visual interpretations of the results have been made through
tables and false-colored images. The results have shown that the distribution of
temporal SAR intensity data follows a Gamma distribution irrespective of surface
area type. Furthermore, none of the target distributions performed specifically well
on areas containing buildings and structures. There was a difference how well the
Gamma distribution model performed between the smaller and larger image stack,
where the Gamma distribution model performed better for the larger stack, which
could point to even better fit to the distribution model if an even larger image stack was used.
Beskrivning
Ämne/nyckelord
SAR, Image-stack, TanDEM-X, TerraSAR-X, Anderson-Darling, Distri- bution model, Krycklan