TEST(NitfReaderTest, optionSrs)
{
StageFactory f;
Options nitfOpts;
nitfOpts.add("filename", Support::datapath("nitf/autzen-utm10.ntf"));
std::string sr = "PROJCS[\"NAD83 / UTM zone 11N\",GEOGCS[\"NAD83\",DATUM[\"North_American_Datum_1983\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6269\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4269\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-123],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH],AUTHORITY[\"EPSG\",\"26910\"]]";
nitfOpts.add("spatialreference", sr);
PointContext ctx;
ReaderPtr nitfReader(f.createReader("readers.nitf"));
EXPECT_TRUE(nitfReader.get());
nitfReader->setOptions(nitfOpts);
Options lasOpts;
lasOpts.add("filename", "/dev/null");
WriterPtr lasWriter(f.createWriter("writers.las"));
EXPECT_TRUE(lasWriter.get());
lasWriter->setInput(nitfReader.get());
lasWriter->setOptions(lasOpts);;
lasWriter->prepare(ctx);
PointBufferSet pbSet = lasWriter->execute(ctx);
EXPECT_EQ(sr, nitfReader->getSpatialReference().getWKT());
EXPECT_EQ("", lasWriter->getSpatialReference().getWKT());
EXPECT_EQ(sr, ctx.spatialRef().getWKT());
}
TEST(IcebridgeReaderTest, testRead)
{
StageFactory f;
ReaderPtr reader(f.createReader("readers.icebridge"));
EXPECT_TRUE(reader.get());
Option filename("filename", getFilePath(), "");
Options options(filename);
reader->setOptions(options);
PointContext ctx;
reader->prepare(ctx);
PointBufferSet pbSet = reader->execute(ctx);
EXPECT_EQ(pbSet.size(), 1u);
PointBufferPtr buf = *pbSet.begin();
EXPECT_EQ(buf->size(), 2u);
checkPoint(
*buf,
0,
141437548, // time
82.605319, // latitude
301.406196, // longitude
18.678, // elevation
2408, // xmtSig
181, // rcvSig
49.91, // azimuth
-4.376, // pitch
0.608, // roll
2.9, // gpsPdop
20.0, // pulseWidth
0.0); // relTime
checkPoint(
*buf,
1,
141437548, // time
82.605287, // latitude
301.404862, // longitude
18.688, // elevation
2642, // xmtSig
173, // rcvSig
52.006, // azimuth
-4.376, // pitch
0.609, // roll
2.9, // gpsPdop
17.0, // pulseWidth
0.0); // relTime
}
Stage* Random::makeReader(Options readerOptions)
{
if (isDebug())
{
readerOptions.add<bool>("debug", true);
boost::uint32_t verbosity(getVerboseLevel());
if (!verbosity)
verbosity = 1;
readerOptions.add<boost::uint32_t>("verbose", verbosity);
readerOptions.add<std::string>("log", "STDERR");
}
StageFactory factory;
Stage* reader_stage = factory.createReader("readers.faux");
reader_stage->setOptions(readerOptions);
return reader_stage;
}
TEST(NitfReaderTest, test_one)
{
StageFactory f;
Options nitf_opts;
nitf_opts.add("filename", Support::datapath("nitf/autzen-utm10.ntf"));
nitf_opts.add("count", 750);
PointContext ctx;
ReaderPtr nitf_reader(f.createReader("readers.nitf"));
EXPECT_TRUE(nitf_reader.get());
nitf_reader->setOptions(nitf_opts);
nitf_reader->prepare(ctx);
PointBufferSet pbSet = nitf_reader->execute(ctx);
EXPECT_EQ(nitf_reader->getDescription(), "NITF Reader");
EXPECT_EQ(pbSet.size(), 1u);
PointBufferPtr buf = *pbSet.begin();
// check metadata
//ABELL
/**
{
Metadata metadata = nitf_reader.getMetadata();
/////////////////////////////////////////////////EXPECT_EQ(metadatums.size(), 80u);
EXPECT_EQ(metadata.toPTree().get<std::string>("metadata.FH_FDT.value"), "20120323002946");
}
**/
//
// read LAS
//
Options las_opts;
las_opts.add("count", 750);
las_opts.add("filename", Support::datapath("nitf/autzen-utm10.las"));
PointContext ctx2;
ReaderPtr las_reader(f.createReader("readers.las"));
EXPECT_TRUE(las_reader.get());
las_reader->setOptions(las_opts);
las_reader->prepare(ctx2);
PointBufferSet pbSet2 = las_reader->execute(ctx2);
EXPECT_EQ(pbSet2.size(), 1u);
PointBufferPtr buf2 = *pbSet.begin();
//
//
// compare the two buffers
//
EXPECT_EQ(buf->size(), buf2->size());
for (PointId i = 0; i < buf2->size(); i++)
{
int32_t nitf_x = buf->getFieldAs<int32_t>(Dimension::Id::X, i);
int32_t nitf_y = buf->getFieldAs<int32_t>(Dimension::Id::Y, i);
int32_t nitf_z = buf->getFieldAs<int32_t>(Dimension::Id::Z, i);
int32_t las_x = buf2->getFieldAs<int32_t>(Dimension::Id::X, i);
int32_t las_y = buf2->getFieldAs<int32_t>(Dimension::Id::Y, i);
int32_t las_z = buf2->getFieldAs<int32_t>(Dimension::Id::Z, i);
EXPECT_EQ(nitf_x, las_x);
EXPECT_EQ(nitf_y, las_y);
EXPECT_EQ(nitf_z, las_z);
}
}
int HeightAboveGroundKernel::execute()
{
// we require separate contexts for the input and ground files
PointContextRef input_ctx;
PointContextRef ground_ctx;
// because we are appending HeightAboveGround to the input buffer, we must
// register it's Dimension
input_ctx.registerDim(Dimension::Id::HeightAboveGround);
// StageFactory will be used to create required stages
StageFactory f;
// setup the reader, inferring driver type from the filename
std::string reader_driver = f.inferReaderDriver(m_input_file);
std::unique_ptr<Reader> input(f.createReader(reader_driver));
Options readerOptions;
readerOptions.add("filename", m_input_file);
input->setOptions(readerOptions);
// go ahead and execute to get the PointBuffer
input->prepare(input_ctx);
PointBufferSet pbSetInput = input->execute(input_ctx);
PointBufferPtr input_buf = *pbSetInput.begin();
PointBufferSet pbSetGround;
PointBufferPtr ground_buf;
if (m_use_classification)
{
// the user has indicated that the classification dimension exists, so
// we will find all ground returns
Option source("source",
"import numpy as np\n"
"def yow1(ins,outs):\n"
" cls = ins['Classification']\n"
" keep_classes = [2]\n"
" keep = np.equal(cls, keep_classes[0])\n"
" outs['Mask'] = keep\n"
" return True\n"
);
Option module("module", "MyModule");
Option function("function", "yow1");
Options opts;
opts.add(source);
opts.add(module);
opts.add(function);
// and create a PointBuffer of only ground returns
std::unique_ptr<Filter> pred(f.createFilter("filters.predicate"));
pred->setOptions(opts);
pred->setInput(input.get());
pred->prepare(ground_ctx);
pbSetGround = pred->execute(ground_ctx);
ground_buf = *pbSetGround.begin();
}
else
{
// the user has provided a file containing only ground returns, setup
// the reader, inferring driver type from the filename
std::string ground_driver = f.inferReaderDriver(m_ground_file);
std::unique_ptr<Reader> ground(f.createReader(ground_driver));
Options ro;
ro.add("filename", m_ground_file);
ground->setOptions(ro);
// go ahead and execute to get the PointBuffer
ground->prepare(ground_ctx);
pbSetGround = ground->execute(ground_ctx);
ground_buf = *pbSetGround.begin();
}
typedef pcl::PointXYZ PointT;
typedef pcl::PointCloud<PointT> Cloud;
typedef Cloud::Ptr CloudPtr;
// convert the input PointBuffer to a PointCloud
CloudPtr cloud(new Cloud);
BOX3D const& bounds = input_buf->calculateBounds();
pclsupport::PDALtoPCD(*input_buf, *cloud, bounds);
// convert the ground PointBuffer to a PointCloud
CloudPtr cloud_g(new Cloud);
// here, we offset the ground cloud by the input bounds so that the two are aligned
pclsupport::PDALtoPCD(*ground_buf, *cloud_g, bounds);
// create a set of planar coefficients with X=Y=0,Z=1
pcl::ModelCoefficients::Ptr coefficients(new pcl::ModelCoefficients());
coefficients->values.resize(4);
coefficients->values[0] = coefficients->values[1] = 0;
coefficients->values[2] = 1.0;
coefficients->values[3] = 0;
// create the filtering object and project ground returns into xy plane
pcl::ProjectInliers<PointT> proj;
proj.setModelType(pcl::SACMODEL_PLANE);
proj.setInputCloud(cloud_g);
proj.setModelCoefficients(coefficients);
CloudPtr cloud_projected(new Cloud);
proj.filter(*cloud_projected);
// setup the KdTree
pcl::KdTreeFLANN<PointT> tree;
tree.setInputCloud(cloud_projected);
// loop over all points in the input cloud, finding the nearest neighbor in
// the ground returns (XY plane only), and calculating the difference in z
int32_t k = 1;
for (size_t idx = 0; idx < cloud->points.size(); ++idx)
{
// Search for nearesrt neighbor of the query point
std::vector<int32_t> neighbors(k);
std::vector<float> distances(k);
PointT temp_pt = cloud->points[idx];
temp_pt.z = 0.0f;
int num_neighbors = tree.nearestKSearch(temp_pt, k, neighbors, distances);
double hag = cloud->points[idx].z - cloud_g->points[neighbors[0]].z;
input_buf->setField(Dimension::Id::HeightAboveGround, idx, hag);
}
// populate BufferReader with the input PointBuffer, which now has the
// HeightAboveGround dimension
BufferReader bufferReader;
bufferReader.addBuffer(input_buf);
// we require that the output be BPF for now, to house our non-standard
// dimension
Options wo;
wo.add("filename", m_output_file);
std::unique_ptr<Writer> writer(f.createWriter("writers.bpf"));
writer->setOptions(wo);
writer->setInput(&bufferReader);
writer->prepare(input_ctx);
writer->execute(input_ctx);
return 0;
}