1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
|
/*
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed 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.
*/
#define BOOST_TEST_MODULE "SarSensorModel unit testing"
#define BOOST_TEST_DYN_LINK
#if defined(__GNUC__) || defined(__clang__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Woverloaded-virtual"
#include <boost/test/unit_test.hpp>
#pragma GCC diagnostic pop
#else
#include <boost/test/unit_test.hpp>
#endif
#include "otbSarSensorModel.h"
#include "otbImageFileReader.h"
using namespace boost::unit_test;
BOOST_AUTO_TEST_CASE(SARSensorModel_parameters)
{
BOOST_TEST_REQUIRE( framework::master_test_suite().argc == 8);
// filename lon lat height lineTol sampleTol sqResTol
//BOOST_TEST_MESSAGE( "'argv[0]' contains " << framework::master_test_suite().argv[0] );
//BOOST_TEST_REQUIRE( framework::master_test_suite().argv[1] == "--input" );
std::cout << "argv[1] " << framework::master_test_suite().argv[1] << std::endl;
}
BOOST_AUTO_TEST_CASE(SARSensorModel_WorldToLineSample)
{
using ImageType = otb::VectorImage<unsigned int, 2>;
using ReaderType = otb::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(framework::master_test_suite().argv[1]);
reader->GenerateOutputInformation();
const auto & imd = reader->GetOutput()->GetImageMetadata();
otb::SarSensorModel model(imd);
otb::SarSensorModel::Point3DType inWorldPoint;
inWorldPoint[0] = std::stod(framework::master_test_suite().argv[2]);
inWorldPoint[1] = std::stod(framework::master_test_suite().argv[3]);
inWorldPoint[2] = std::stod(framework::master_test_suite().argv[4]);
otb::SarSensorModel::Point2DType outLineSampleOssim;
std::cout << "Direct test with otb" << std::endl;
otb::SarSensorModel::Point2DType outLineSampleOtb;
model.WorldToLineSample(inWorldPoint, outLineSampleOtb);
}
BOOST_AUTO_TEST_CASE(SARSensorModel_auto_validate_inverse_transform )
{
double lineTol = std::stod(framework::master_test_suite().argv[5]);
double sampleTol = std::stod(framework::master_test_suite().argv[6]);
using ImageType = otb::VectorImage<unsigned int, 2>;
using ReaderType = otb::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(framework::master_test_suite().argv[1]);
reader->GenerateOutputInformation();
if (reader->GetOutput()->GetGCPCount() == 0)
{
otbLogMacro(Info, << "Input product has no gcp, skipping gcp inverse transform validation.");
return;
}
const auto & imd = reader->GetOutput()->GetImageMetadata();
otb::SarSensorModel model(imd);
for (const auto & gcp : imd.GetGCPParam().GCPs)
{
itk::Point<double, 3> geoPoint;
geoPoint[0] = gcp.m_GCPX;
geoPoint[1] = gcp.m_GCPY;
geoPoint[2] = gcp.m_GCPZ;
itk::Point<double, 2> lineSampleBaseline;
lineSampleBaseline[0] = gcp.m_GCPCol;
lineSampleBaseline[1] = gcp.m_GCPRow;
itk::Point<double, 2> lineSample;
model.WorldToLineSample(geoPoint, lineSample);
BOOST_TEST(std::abs(lineSample[0] - lineSampleBaseline[0]) < lineTol);
BOOST_TEST(std::abs(lineSample[1] - lineSampleBaseline[1]) < sampleTol);
}
}
BOOST_AUTO_TEST_CASE(SARSensorModel_auto_validate_forward_transform)
{
double sqResTol = std::stod(framework::master_test_suite().argv[7]);;
using ImageType = otb::VectorImage<unsigned int, 2>;
using ReaderType = otb::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(framework::master_test_suite().argv[1]);
reader->GenerateOutputInformation();
if (reader->GetOutput()->GetGCPCount() <= 1)
{
otbLogMacro(Info, << "Input product has not enough gcp, at least two are "
"required for this test. Skipping gcp forward transform validation.");
return;
}
auto & imd = reader->GetOutput()->m_Imd;
auto & GCPParam = imd.GetGCPParam();
std::vector<otb::GCP> testGCPs;
otb::Projection::GCPParam productGCPs;
bool odd = false;
for (auto gcp: GCPParam.GCPs)
{
if (odd)
{
productGCPs.GCPs.push_back(gcp);
}
else
{
testGCPs.push_back(gcp);
}
odd = !odd;
}
imd.Add(otb::MDGeom::GCP, productGCPs);
otb::SarSensorModel model(imd);
for (const auto & gcp : testGCPs)
{
itk::Point<double, 2> sensorPoint;
sensorPoint[0] = gcp.m_GCPCol;
sensorPoint[1] = gcp.m_GCPRow;
itk::Point<double, 3> geoPointBaseline;
geoPointBaseline[0] = gcp.m_GCPX;
geoPointBaseline[1] = gcp.m_GCPY;
geoPointBaseline[2] = gcp.m_GCPZ;
itk::Point<double, 3> geoPoint;
model.LineSampleHeightToWorld(sensorPoint, gcp.m_GCPZ, geoPoint);
BOOST_TEST(geoPoint.SquaredEuclideanDistanceTo(geoPointBaseline) < sqResTol);
}
}
|
