Lecture 7: SAR remote sensing Flashcards
(11 cards)
RADAR
= Radio Detection And Ranging
→ based on microwaves having a centimetre- to metre-scale wavelength
Imaging RADAR
= radar technique used to create a 2D image from the measurement of echoes coming from emitted radar pulses (→ active imaging sensor technique)
2 dimensions:
➢ Range direction (cross-path)
➢ Azimuth direction (along path)
What is measured:
➢ Echo (« strength » of the returned signal)
➢ Time between pulse and echo
Spatial resolution in range:
➢ as a function of the width of the pulse
Range as a function of time:
t = 2d/c → d = c t / 2
Spatial resolution in azimuth:
➢ = width of the illumination pattern
➢ Determined by angular width of the beam and slant-range distance
➢ Ra = slant range × wavelength / antenna length
Range resolution
= Ability to separate two closely spaced objects in range
As a function of the pulse width used
Range resolution ≃ half of the pulse width
Synthetic Aperture Radar
In Real Aperture Radar (RAR), a high azimuth resolution would require a non-realistic antenna length → Synthetic Aperture Radar
→ Taking advantage that scatterers (objects at the ground surface) remain within the real-aperture radar beam for many radar pulses.
SAR sensor = sensor having a side looking angle, which uses the motion of the radar antenna over a target region to provide a 2D image with a finer spatial resolution than a beam-scanning radar.
Advantages of imaging radar
✓ All weather capability
✓ Can operate day and night
✓ Sensitivity to surface roughness
✓ Sensitivity to dielectric properties (water content, biomass, ice)
✓ Sensitivity to object structure (→ polarimetry)
✓ Subsurface penetration
Amplitude image
“Strength” of the backscattered signal
Depends on the physical and electric properties of the surface
Phase
Angle representing the # of periods spanned
Depends on the distance to the ground
Backscattering
= reflexion of a signal that is back to the direction from where it comes
Function of the surface hit by the signal
➢ Surface roughness
➢ Dielectric constant (physical property influencing the reflectivity of an object)
➢ ! Double bounce
Function of the wavelength
Speckle
Pixel brightness = mix of signals coming from different scatterers → « salt & pepper » effect
→ Degrades the image quality
Can be filtered (examples):
➢ Multi-looking
➢ Moving-window spatial filtering
➢ Multi-image averaging
4 main backscattering mechanisms
- Specular reflection
- Corner reflection
- Diffuse scattering
- Volume scattering
SAR-based flood mapping
GOAL = Taking advantage of the backscattering properties of water to detect flooded areas
Technique 1: Thresholding
Technique 2: Comparison
→ Reference image (no flood) versus Crisis image (during flood event)
More evolved techniques:
→ Decision tree
→ Active contour model
→ Deep learning approach
Limitations: Urban areas, forested areas and small, shallow and dynamic floods