Projekt

Classification of polarimetric Synthetic Aperture Radar (SAR) images

Udbyder

Vejleder

Sted

København og omegn

SAR image and polarimetric SAR images can be used to produce thematic maps, and normally special statistical classification methods are used to derive the necessary information. In this project more robust knowledge-based or model-based techniques for classification will be investigated.

A SAR (Synthetic Aperture Radar) is an airborne or spaceborne radar, and it acquires images of the surface of the Earth with very good spatial resolution (i.e. down to a few meters). An advanced version of the SAR is the socalled polarimetric SAR, where radar waves with both vertical and horizontal polarization is transmitted and received, and hence information about the polarization characteristics of objects is collected. A large number of applications of SAR and polarimetric SAR exist within different topics: monitoring of sea ice in the Greenland Sea, monitoring of agricultural crops, determination of soil moisture on fields, determination of biomass and other vegetation parameters for crops and trees, topographic mapping, and mapping of glaciers and the inland ice in Greenland. The SAR images contain other types of information than conventional image data from, e.g. visible and infrared sensors, because the radar operates at microwave frequencies, where other characteristics of the surface (e.g. water content in plants or the soil, and the structure of the plants) control the appearance of the objects in the images. Furthermore, the radar images are independent of sun light and cloud cover, in contrast to the visible and infrared images.

An important application of remote sensing images, and especially polarimetric SAR images, is to produce thematic maps of various types from the acquired images. This is often performed using classification methods. Standard classification methods cannot be used for SAR images, due to an inherent noise problem called speckle. Also, special classification methods are needed for polarimetric SAR images due to the special data formats and information content. A number of classification methods exist, both for SAR images and polarimetric SAR images, and both using supervised and unsupervised classification. The latter methods are often based on polarimetric decomposition techniques. These classification methods lead, however, seldom to very robust approaches, but they have to be adapted to the individual images acquired from specific geographical locations and under specific environmental characteristics. Therefore, the goal of the present project is to investigate the possibility of using knowledge-based or model-based methods for the entire classification procedure or eventually only parts of the procedure. Such methods, based on common knowledge of how various objects backscatter the radar waves and/or electromagnetic models of the scattering from objects, have the potential of being more robust than the statistical methods.

The project will start with a literature review to seek information about existing classification techniques. Hereafter, appropriate techniques, existing as well as new, will be identified, analysed theoretically, implemented and the performance evaluated. Eventually, new methods will be developed based on a knowledge-based or model-based approach.

Forudsætninger

30350 Remote Sensing. Experience with programming

Søg i opslag
Kontakt

Virksomhed/organisation

DTU Space

Navn

Henning Skriver

Stilling

Vicedirektør, Direktionsmedlem med særligt ansvar for uddannelse og økonomi

Mail

hs@space.dtu.dk

Vejleder-info

Bachelor i Elektroteknologi

Vejleder

Henning Skriver

ECTS-point

10 - 35

Type

Bachelorprojekt, Fagprojekt, Kandidatspeciale

Bachelor i Geofysik og Rumteknologi

Vejleder

Henning Skriver

ECTS-point

10 - 35

Type

Bachelorprojekt, Fagprojekt, Kandidatspeciale

Kandidatuddannelsen i Elektroteknologi

Vejleder

Henning Skriver

ECTS-point

10 - 35

Type

Bachelorprojekt, Fagprojekt, Kandidatspeciale

Kandidatuddannelsen i Geofysik og Rumteknologi

Vejleder

Henning Skriver

ECTS-point

10 - 35

Type

Bachelorprojekt, Fagprojekt, Kandidatspeciale

Kandidatuddannelsen i Matematisk Modellering og Computing

Vejleder

Henning Skriver

ECTS-point

10 - 35

Type

Bachelorprojekt, Fagprojekt, Kandidatspeciale

OM DTU

DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

Find os her

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby


45 25 25 25

dtu@dtu.dk

CVR-nr. 30 06 09 46

Liste over EAN Numre

Job på DTU

Se alle jobs
 

loading..