Focus Measurement and On board verification for Spot 3 and 4
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May 19, 2024
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About This Presentation
Spot3-4 Ib-orbit focus measurement
Size: 755.31 KB
Language: en
Added: May 19, 2024
Slides: 24 pages
Slide Content
On-orbit MTF assessment of satellite cameras Dominique Léger (ONERA) Françoise Viallefont (ONERA) Philippe Déliot (ONERA) Christophe Valorge (CNES)
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
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) SPOT2 SPOT4 SPOT5
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 f s - 0.35 f s 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)
Refocusing SPOT cameras Refocusing operation sequence (SPOT5 HRG) Before launch, the cameras are set on best vacuum mean focus p First stage: slight defocusing around p p -8, p +8, p (~±10 m m) mechanism validation first focus estimation p 1 Second stage: sufficient defocusing to overpass p 1 Final estimation of best focus row-wise and columnwise astigmatism field center and field edges Setting the focus to best mean position
Refocusing SPOT cameras Results of HRG1 refocusing operations (First stage) Vertex outside measurement points Second stage needed
Refocusing SPOT cameras Results of HRG1 refocusing operations (second stage) Best focus (field center): p -13 Astigmatism: -7 (one focusing step = 1.2 mm )
Refocusing SPOT cameras Best focus and astigmatism vs field area (with respect to p ) Final focusing HRG1: p -12 HRG2: p -7
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. 1+2 HRG1 left edge versus HRG1 center L C R
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
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
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
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)
MTF measurement methods: Point source Xe lamp: 3kW Xe lamp: 1kW Spotlights on a grassy uniform area
MTF measurement methods: Point source
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
MTF measurement methods: Natural step edge Fields near Phoenix (SPOT5 HRS2 10/06/02) Example of an almost horizontal edge along the track measurement
MTF measurement methods: Natural step edge Example of result with HRS Method improvement: MTF model is fitted on MTF curve
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
MTF measurement methods: Periodic target Opportunity to acquire Stennis Space Center radial target with SPOT5 HM (5m) THR (2.5m)
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
MTF measurement : Comments on best methods Artificial step edge Well suited to high-resolution satellites (GSD < 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