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Commit a46e79d2 authored by LabatAllee Lucie's avatar LabatAllee Lucie
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ajout homothetie axe Z

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/* Copyright 2013-2016 CS Systèmes d'Information
* Licensed to CS Systèmes d'Information (CS) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* CS licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.orekit.rugged.los;
import java.util.stream.Stream;
import org.hipparchus.analysis.differentiation.DerivativeStructure;
import org.hipparchus.geometry.euclidean.threed.FieldVector3D;
import org.hipparchus.geometry.euclidean.threed.Vector3D;
import org.hipparchus.util.FastMath;
import org.orekit.errors.OrekitException;
import org.orekit.rugged.errors.RuggedException;
import org.orekit.rugged.utils.DSGenerator;
import org.orekit.utils.ParameterDriver;
import org.orekit.utils.ParameterObserver;
/** {@link TimeIndependentLOSTransform LOS transform} based on a homothety along the Z axis.
* inspired from FixedZHomothety / s2geolib
* @author Lucie Labatallee
* @see LOSBuilder
*/
public class FixedZHomothety implements TimeIndependentLOSTransform {
/** Parameters scaling factor.
* <p>
* We use a power of 2 to avoid numeric noise introduction
* in the multiplications/divisions sequences.
* </p>
*/
private final double SCALE = FastMath.scalb(1.0, -20);
/** Homothety factor. */
private double factor;
/** Underlying homothety with derivatives. */
private DerivativeStructure factorDS;
/** Driver for homothety factor. */
private final ParameterDriver factorDriver;
/** Simple constructor.
* <p>
* The single parameter is the homothety factor.
* </p>
* @param name name of the homothety (used for estimated parameters identification)
* @param factor homothety factor
*/
public FixedZHomothety(final String name, final double factorvalue) {
this.factor = factorvalue;
this.factorDS = null;
try {
this.factorDriver = new ParameterDriver(name, factorvalue, SCALE, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY);
factorDriver.addObserver(new ParameterObserver() {
@Override
public void valueChanged(final double previousValue, final ParameterDriver driver) {
// reset factor to zero, they will be evaluated lazily if needed
factor = 0.0;
// System.out.format("Value changed: %f %n", factorDriver.getValue());
factorDS = null;
}
});
} catch (OrekitException oe) {
// this should never happen
throw RuggedException.createInternalError(oe);
}
}
/** {@inheritDoc} */
@Override
public Stream<ParameterDriver> getParametersDrivers() {
return Stream.of(factorDriver);
}
/** {@inheritDoc} */
@Override
public Vector3D transformLOS(final int i, final Vector3D los) {
if (factor == 0.0) {
// lazy evaluation of the homothety
factor = factorDriver.getValue();
}
return new Vector3D(los.getX(), los.getY(), factor*los.getZ());
}
/** {@inheritDoc} */
@Override
public FieldVector3D<DerivativeStructure> transformLOS(final int i, final FieldVector3D<DerivativeStructure> los,
final DSGenerator generator) {
if (factorDS == null) {
// lazy evaluation of the homothety
factorDS = generator.variable(factorDriver);
}
return new FieldVector3D<DerivativeStructure>(los.getX(), los.getY(), factorDS.multiply(los.getZ()));
}
}
......@@ -62,7 +62,8 @@ public class AffinageRugged {
// Initialize Orekit, assuming an orekit-data folder is in user home directory
File home = new File(System.getProperty("user.home"));
File orekitData = new File(home, "workspace/data/orekit-data");
//File orekitData = new File(home, "workspace/data/orekit-data");
File orekitData = new File(home, "COTS/orekit-data");
DataProvidersManager.getInstance().addProvider(new DirectoryCrawler(orekitData));
......@@ -140,10 +141,10 @@ public class AffinageRugged {
double rollValue = FastMath.toRadians( 0.1);
double pitchValue = FastMath.toRadians(-0.3);
double factorValue = 0.5;
System.out.format("roll : %3.5f pitch : %3.5f factor : %3.5f \n",rollValue,pitchValue,factorValue);
System.out.format("roll : %3.5f pitch : %3.5f \n",rollValue,pitchValue);
rugged.
getLineSensor("line").
getParametersDrivers().
......@@ -155,6 +156,13 @@ public class AffinageRugged {
getParametersDrivers().
filter(driver -> driver.getName().equals("pitch")).
findFirst().get().setValue(pitchValue);
rugged.
getLineSensor("line").
getParametersDrivers().
filter(driver -> driver.getName().equals("factor")).
findFirst().get().setValue(factorValue);
System.out.format(" **** Generate Measures **** %n");
......@@ -162,7 +170,7 @@ public class AffinageRugged {
MeasureGenerator measure = new MeasureGenerator(pleiadesViewingModel,rugged);
measure.CreateMeasure(1000, 1000);
System.out.format(" **** Reset Roll/Pitch **** %n");
System.out.format(" **** Reset Roll/Pitch/Factor **** %n");
rugged.
getLineSensor(pleiadesViewingModel.getSensorName()).
getParametersDrivers().
......@@ -175,7 +183,18 @@ public class AffinageRugged {
throw new OrekitExceptionWrapper(e);
}
});
rugged.
getLineSensor(pleiadesViewingModel.getSensorName()).
getParametersDrivers().
filter(driver -> driver.getName().equals("factor")).
forEach(driver -> {
try {
driver.setSelected(true);
driver.setValue(1.0); // default value: no Z scale factor applied
} catch (OrekitException e) {
throw new OrekitExceptionWrapper(e);
}
});
System.out.format(" **** Start optimization **** %n");
......@@ -204,7 +223,14 @@ public class AffinageRugged {
filter(driver -> driver.getName().equals("pitch")).
findFirst().get().getValue();
double pitchError = (estimatedPitch - pitchValue);
System.out.format("Estimated pitch %3.5f pitch error %3.6e %n ", estimatedPitch, pitchError);
System.out.format("Estimated pitch %3.5f pitch error %3.6e %n ", estimatedPitch, pitchError);
double estimatedFactor = rugged.getLineSensor(pleiadesViewingModel.getSensorName()).
getParametersDrivers().
filter(driver -> driver.getName().equals("factor")).
findFirst().get().getValue();
double factorError = (estimatedFactor - factorValue);
System.out.format("Estimated factor %3.5f factor error %3.6e %n ", estimatedFactor, factorError);
......
......@@ -28,6 +28,7 @@ import java.util.List;
import org.orekit.rugged.los.FixedRotation;
import org.orekit.rugged.los.FixedZHomothety;
import org.orekit.rugged.los.LOSBuilder;
import org.orekit.rugged.los.TimeDependentLOS;
import org.orekit.time.AbsoluteDate;
......@@ -89,6 +90,7 @@ public class PleiadesViewingModel {
losBuilder.addTransform(new FixedRotation("roll", Vector3D.MINUS_I, 0.0));
losBuilder.addTransform(new FixedRotation("pitch", Vector3D.MINUS_J, 0.0));
losBuilder.addTransform(new FixedZHomothety("factor", 1.0));
return losBuilder.build();
}
......
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