new modules of the software package “photomod radar” september 2010, gaeta, italy x th...

New modules of the software New modules of the software

package “PHOTOMOD Radar”package “PHOTOMOD Radar”

September 2010, Gaeta, Italy

Xth International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies

Roman I. Shuvalov

PHOTOMOD Radar.PHOTOMOD Radar. What’s new?

Images Coherent Coregistration ToolImages Coherent Coregistration Tool1

2 Image Quality Estimation ToolsImage Quality Estimation Tools

TargetResponseAnalysis

TargetResponseAnalysis

RadiometricErrors

Analysis

RadiometricErrors

Analysis

GeometricErrors

Analysis

GeometricErrors

Analysis

ImageStatisticsAnalysis

ImageStatisticsAnalysis

2.1 2.2 2.3 2.4

Coherent coregistration & Joint processing

Images Coherent Coregistration Tool

Images loading

Coregistration

Joint thematic processing

PHOTOMOD RadarImages Coherent Coregistration Tool

“Images Coherent Coregistration Tool” has an embedded classificator and tools for coregistered images joint visualization.

Pixels classification

Coherence evolution analysis

Differential interferometry

Others…

The joint processing may be:

Permanent scatterers interferometry

Multilooking


Interface of the software“Images Coherent Coregistration”

The tool “Images Coherent Coregistration” allows to coregistrate radar images automatically with subpixel accuracy.


1) spatial coregistration of the set of SAR images,2) joint visualization,3) pixel statistics estimation,4) pixel classification.

“Images Coherent Coregistration Tool” is intended for the joint processing of the set of radar images:

The input data are:

- interferometric set of SAR complex images.


The output data are:

- interferometric set of coregistered SAR complex images,

- amplitude image with increased radiometric resolution,

- mean coherence image that characterizes changes of the underlying surface,

- amplitude stability image that characterizes the stability of the backscattered signal power,

- result of pixels classification.


Characteristics

time

Input set of images

Classes

Images loading and sorting

Coherent coregistration

Overlapping region calculation

Pixel statistics estimation

Pixel classification

Sequence of processing steps


time

Tab “Images” is intended for input data loading and sorting.


Coregistration settings dialog

Tab “Coregistering” is intended for input images coregistration.

There are two coregistration methods: manual and automatic.


1

1 N

kk

m aN

,m

1

1

1

1

N

kkN

Mean

amplitude:

Amplitude stability:

Mean coherence:

Tab “Multilooking” is intended for pixel numerical characteristics estimation.

Amplitude stability

Mean amplitude


Mean coherence

Pseudocolor representation of the estimated pixel characteristics:Amplitude stability Red channel,Mean amplitude Green channel,Mean coherence Blue channel.



Pseudocolor representation of the estimated pixel characteristics: Amplitude stability Red channel, Mean amplitude Green channel, Mean coherence Blue channel.

Name Description Color Interpretation

Class 1 Low amplitude,high amplitude stability, low coherence.

Radar shadow.

Class 2 Low amplitude,high amplitude stability, high coherence.

Pavement.

Class 3 High amplitude,temperate amplitude stability, temperate coherence.

Buildings and metallic constructions. Front slopes of the hills and opposite slopes of ravines.

Class 4 High amplitude,high amplitude stability, high coherence.

Strong permanent scatterers.

Class 5 Low amplitude,low amplitude stability,temperate coherence.

Water surface.

Class 6 Low amplitude (less than for class 7),temperate amplitude stability,temperate coherence (higher than for class 7).

Vegetation.

Class 7 Low amplitude (higher than for class 6),temperate amplitude stability,temperate coherence (less than for class 6).

Water surface surroundings.

Pseudocolors interpretation


Radar shadow

Front wall of the building

Pavement

Strong permanent scatterer


Examples of objects


Patch of water surface

Water surroundings

Bridge over the river.

Vegetation

Examples of objects


Tab “Pseudocolor” allows to create pseudocolor composite image on the base of any three images of the input set.

Pseudocolor representation of three amplitude images.



Tab “Differences” allows to generate difference-images (or ratio-images) from the input set of images.

Pseudocolor representation of three amplitude difference-images.



Tab “Classes” is intended for the image pixels classification.

Two types of classification are available:amplitudes basedand characteristics based.

Result of classification acquired using Bayes method on the base of Gauss model. Four classes dominate: blue (water surface, radar shadow), green (vegetation), brown (roads), and yellow (buildings).



Applications

Land covers classification

Change detection (coherent & incoherent)

Image enhancement

Ground subsidence monitoring

Image Quality Estimation ToolsImage Quality Estimation Tools

Software tool for pulse response analysisSoftware tool for pulse response analysis

Interface of the software tool “Pulse Response Analysis”.

Estimated parameters are:

1) Local maximum location,2) Peak power (dB),3) Peak width (meters),4) First zero location,5) Second zero location,6) First sidelobe location,7) Pulse response mainlobe energy (dB),8) First sidelobe energy,9) Ratio of sidelobe energy to mainlobe energy,

and some others…

The tool “Pulse Response Analysis” allows getting target response profile on the image.


- mainlobe region

- sidelobe region

- noise region

Pulse response function schematic view

Pulse response on the SAR image Interpolated pulse response function

3D view of the interpolated pulse response function

Analysis option could be adjusted

RADARSAT-1. Product type – SGX. Beam – F2.

Interpolated profiles along range and azimuth


Report generated by the software tool. It contains results of SAR impulse response function analysis.


Software tool for geometric analysisSoftware tool for geometric analysis

Interface of the software tool “Image Geometry Analysis”.


1) absolute location accuracy,2) absolute geometric distortions,3) relative geometric distortions

The set of ground control points is required.

The report in textual file is generated.

Geometric errors may be viewed and measured in the “Viewer”.

Software tool for geometric analysisSoftware tool for geometric analysis

Software tool for radiometric analysisSoftware tool for radiometric analysis

Interface of the software tool “Image Radiometry Analysis”.


1) relative radiometric error,2) radiometric linearity,3) range ambiguity level,4) azimuth ambiguity level,5) equivalent number of independent looks,6) mean level of the additive noise.



Set of corner reflectors for radiometric

linearity estimation

Rectangular frame for equivalent number of

independent looks estimating

Rectangular frames for relative radiometric error

estimating

Input image

Estimating of additive noise mean level

The dialog of the radiometric analysis settings



Azimuth ambiguity level estimating

Object which gives strong

backscattered signal

Azimuth ambiguity zone

The position of the ambiguity zone is calculated automatically.


Range ambiguity zoneObject which gives strong

backscattered signal

Input image for the range ambiguity level estimation. On the sea surface in the left part of the image one can see range ambiguity spots. The strong backscattered signal from the mountain ridges in the right part of the image is laid over the weak signal from the sea surface.

Range ambiguity level estimating

Rectangular frames for range ambiguity level estimation.

Dialog of the estimation settingsThe position of the ambiguity zone is calculated automatically.

Software tool for image statistics analysisSoftware tool for image statistics analysis


1) maximum value on the image,2) percent of pixels with maximum value,3) minimum value on the image,4) percent of pixels with minimum value,5) image dynamic range,6) peak histogram value,7) mean value on the image,8) standard deviation on the image.

Interface of the software tool “Image Statistics Analysis”.

The tool “Image Statistics Analysis” allows to draw histogram of the image and to estimate basic numeric characteristics of the image.


Image Quality Estimation ToolsImage Quality Estimation Tools

Possible applications

SAR images quality control

SAR image parameters estimation

SAR image understanding

PHOTOMOD RadarImage Quality Estimation Tools

SAR image generation

Image quality control

Image thematic processing

Thank you for attention !

new modules of the software package “photomod radar” september 2010, gaeta, italy x th...

Documents

input images coregistration

set of radar images

spatial coregistration

coregistration methods

set of sar images

coregistrate radar images

amplitude stability

shuvalov slide