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Onorbit MTF assessment of satellite cameras

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... checkerboard target has been laid out (Salon-de-Provence in south of France) ... Well suited to high-resolution satellites (GSD 5 m Salon-de-Provence target) ... – PowerPoint PPT presentation

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Title: Onorbit MTF assessment of satellite cameras


1
On-orbit MTF assessment of satellite cameras
  • Dominique Léger (ONERA)
  • Françoise Viallefont (ONERA)
  • Philippe Déliot (ONERA)
  • Christophe Valorge (CNES)

2
Introduction
  • Objective
  • assessment of SPOT camera MTF
  • to verify cameras requirements
  • to compare in-flight and ground measurements
  • to obtain accurate values to adjust deconvolution
    filters (SPOT5 THR)
  • Need to focus camera before MTF assessment
  • due to possible slight defocus
  • vibrations during launch
  • transition from air to vacuum

3
SPOT family Overview
  • SPOT1,2,3
  • HRV cameras
  • Pa (10m) B1, B2, B3 (20m)
  • SPOT4
  • HRVIR cameras
  • M (10m) B1, B2, B3, B4 (20m)
  • Vegetation camera
  • B0, B2, B3, B4(1km)
  • SPOT5
  • HRG cameras
  • HM (5m) B1, B2, B3 (10m), B4 (20m)
  • THR (2,5m)
  • HRS cameras (10 m)
  • Vegetation camera
  • B0, B2, B3, B4 (1km)

SPOT5
SPOT4
SPOT2
4
Refocusing SPOT cameras
  • Method
  • Both cameras image the same landscape
  • One is used as a reference
  • Focusing mechanism of the other is moved
  • Calculation of the ratio of image spectra
  • integration in band 0.25 fs - 0.35 fs
  • calculations in row and column directions
  • result is a function of position p of mechanism
  • The curve looks like a parabola
  • a defocus model is fitted on measurements
  • the vertex gives the best focus
  • Calculations vs field area
  • center and edges (SPOT5)

5
Refocusing SPOT cameras
  • Refocusing operation sequence (SPOT5 HRG)
  • Before launch, the cameras are set on best vacuum
    mean focus p0
  • First stage slight defocusing around p0
  • p0-8, p08, p0 (10 mm)
  • mechanism validation
  • first focus estimation p1
  • Second stage sufficient defocusing to overpass
    p1
  • Final estimation of best focus
  • row-wise and columnwise ? astigmatism
  • field center and field edges
  • Setting the focus to best mean position

6
Refocusing SPOT cameras
  • Results of HRG1 refocusing operations (First
    stage)
  • Vertex outside measurement points
  • Second stage needed

7
Refocusing SPOT cameras
  • Results of HRG1 refocusing operations (second
    stage)
  • Best focus (field center) p0-13
  • Astigmatism -7
  • (one focusing step 1.2 mm)

8
Refocusing SPOT cameras
  • Best focus and astigmatism vs field area
  • (with respect to p0)
  • Final focusing
  • HRG1 p0-12
  • HRG2 p0-7

9
Relative MTF measurement method
  • Both cameras image the same landscape (with and
    without shift)
  • Landscapes with a large frequency content (e.g.
    big cities)
  • Three kind of imaging
  • 1 HRG1
  • HRG2
  • 2 HRG1
  • HRG2
  • 3 HRG1
  • HRG2
  • 1 ? Frequency content comparison between
    homologous areas
  • Field centers, field edges
  • 1 2 (3) ? Frequency content comparison in the
    field of one instrument
  • e.g. 12 ? HRG1 left edge versus HRG1 center

L C R
10
Absolute MTF measurement methods
  • Overview of methods from SPOT1 to SPOT5
  • Visual assessment
  • HRV cameras SPOT1, SPOT2, SPOT3
  • Point source method
  • SPOT3, SPOT4, SPOT5
  • Step edge method
  • Natural target SPOT4 HRVIR SPOT5 HRS
  • Artificial target SPOT5 HRG
  • Bi-resolution
  • SPOT4 HRVIR (vs airborne) SPOT4 VGT (vs HRVIR)
  • Periodic target
  • SPOT5 HRG

11
MTF measurement methods Visual assessment
  • SPOT1, SPOT2, SPOT3 HRV cameras
  • Only panchromatic band
  • Aerial imagery of urban sites
  • 20 sites chosen in the south of France
  • Simulation of the corresponding satellite imagery
  • For each site, images with decreasing MTF are
    simulated
  • The whole set of images is called MTF catalog
  • In-flight, visual comparison of actual and
    simulated images
  • MTF of the catalog image nearest to the actual
    image gives a rough assessment of the in-flight
    MTF

12
MTF measurement methods Point source
  • SPOT3 HRV, SPOT4 HRVIR, SPOT5 HRG
  • Pa and XS bands
  • Image of a spotlight aimed at the satellite
  • In SPOT5 THR mode, the PSF is sufficiently
    sampled
  • MTF is obtained by Fourier transform of the PSF
  • In other modes, two ways to overcome PSF
    undersampling
  • To use a MTF model
  • To combine several images to rebuild sufficiently
    sampled image
  • or to use several spotlights

13
MTF measurement methods Point source
  • Unique point source method
  • Integrating point image (row-wise or columnwise)
  • 1D problem
  • Reference LSF FT(parametric 1D MTF model)
  • Two parameters MTF and phase (versus sampling
    grid)
  • Matching LSF samples with reference
  • ? Value of the MTF parameter
  • Corresponding MTF 1D in-flight MTF
  • ? Value of the phase parameter
  • Stability of MTF
  • Possibility to mix the various sets of LSF
    samples
  • If different phase parameters

14
MTF measurement methods Point source
  • Two point source method
  • Simplified version of point source array
  • Integrating point image (row-wise or columnwise)
  • 1D problem
  • Hypothesis MTF is negligible beyond frequency
    sampling
  • ? Two points are sufficient
  • Experiment with two spotlights (SPOT5)

15
MTF measurement methods Point source
Spotlights on a grassy uniform area
Xe lamp 3kW
Xe lamp 1kW
16
MTF measurement methods Point source
17
MTF measurement methods step edge
  • Step edge method
  • Image of a target (artificial or natural) with a
    sharp transition between dark and bright area
  • With a slight edge inclination, we can interleave
    successive rows (or columns) to rebuild a
    sufficiently sampled response to Heaviside
    function
  • Again, this is not necessary with THR mode
  • Modulus of ratio of FT (edge response) to FT
    (edge) in-flight MTF
  • Two kinds of edge
  • Natural edge agricultural fields
  • Difficulty to find a good one and to validate it
  • Artificial edge
  • A checkerboard target has been laid out
    (Salon-de-Provence in south of France)
  • 60 x 60 m

18
MTF measurement methods Natural step edge
  • Fields near Phoenix (SPOT5 HRS2 10/06/02)
  • Example of an almost horizontal edge
  • along the track measurement

19
MTF measurement methods Natural step edge
  • Example of result with HRS
  • Method improvement MTF model is fitted on MTF
    curve

20
MTF measurement methods Artificial edge target
  • Salon-de-Provence target (SPOT5 HRG1 26/07/02)

21
MTF measurement methods Bi-resolution
  • Principle
  • Same landscape acquired with two spatial
    resolutions (same spectral band)
  • High resolution image reference
  • Low resolution image sensor under assessment
  • In-flight MTF Modulus of ratio of FT (LR image)
    to FT (HR image)
  • Two situations
  • Satellite image versus aerial image
  • Attempt with SPOT4 HRVIR
  • Both sensors on the same satellite
  • Attempt with SPOT4 VGT1 versus HRVIR

22
MTF measurement methods Periodic target
  • Opportunity to acquire Stennis Space Center
    radial target with SPOT5

HM (5m)
THR (2.5m)
23
MTF measurement methods Comparison
  • Comparison of SPOT5 HRG1 MTF measurements
  • Direction Rows Columns Diagonal
  • Spotlight 0.35 0.32 0.15
  • Step edge 0.33 0.30
  • Radial target 0.38 0.18
  • Ground 0.31 0.36
  • Specification 0.25 0.23
  • Close results for different methods
  • In-flight and ground measurements similar and
    better than specification

24
MTF measurement Comments on best methods
  • Artificial step edge
  • Well suited to high-resolution satellites (GSD lt
    5 m Salon-de-Provence target)
  • Target building and maintenance expensive
  • Only two measurement directions
  • Spotlight
  • Suitable to GSD up to 30m
  • No orientation constraint
  • Needs a team on ground
  • Bi-resolution
  • Attractive with different GSD cameras aboard the
    same satellite
  • Radial target
  • Interest of visual assessment in addition to MTF
    measurements
  • No orientation constraint
  • Target building and maintenance expensive
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