/usr/include/liblas/classification.hpp is in liblas-dev 1.7.0+dfsg-4.
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* $Id$
*
* Project: libLAS - http://liblas.org - A BSD library for LAS format data.
* Purpose: Definition of LASClassification type.
* Author: Mateusz Loskot, mateusz@loskot.net
*
******************************************************************************
* Copyright (c) 2009, Mateusz Loskot
*
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following
* conditions are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the Martin Isenburg or Iowa Department
* of Natural Resources nor the names of its contributors may be
* used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
* OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
* OF SUCH DAMAGE.
****************************************************************************/
#ifndef LIBLAS_LASCLASSIFICATION_HPP_INCLUDED
#define LIBLAS_LASCLASSIFICATION_HPP_INCLUDED
// boost
#include <boost/cstdint.hpp>
#include <liblas/export.hpp>
// std
#include <cassert>
#include <cstddef>
#include <bitset>
#include <ostream>
#include <sstream>
#include <stdexcept>
// I hate you windows
#ifdef _MSC_VER
#ifdef GetClassName
#undef GetClassName
#endif
#endif
namespace liblas {
/// Class definition to manipulate properties of point record classification.
///
class LAS_DLL Classification
{
public:
/// Alias on std::bitset<8> used as collection of flags.
typedef std::bitset<8> bitset_type;
/// Number of classes in lookup table as defined in ASPRS LAS 1.1+.
/// For LAS 1.0, this static number may be invalid and
/// extend up to 255 classes stored in variable-length records.
/// @note Currently, libLAS does not support classification based on table
/// stored in variable-length record. Only Standard ASPRS classification
/// table is supported.
static boost::uint32_t const class_table_size;
/// Values of indexes in the set of bit flags.
enum BitPosition
{
eClassBit = 0, ///< First bit position of 0:4 range.
eSyntheticBit = 5, ///< Synthetic flag.
eKeyPointBit = 6, ///< Key-point flag.
eWithheldBit = 7 ///< Withheld flag.
};
/// Default initialization constructor.
/// Initializes all flags of classification as set to 0.
/// Operation semantic is equivalent to bitset_type::reset().
Classification() {}
/// Initializes classification flags using given set of 8 bits.
/// @param flags [in] - contains 8 bits representing classification flags.
explicit Classification(bitset_type const& flags)
: m_flags(flags)
{}
/// Initializes classification flags using 8 bits of integral type.
/// @param flags [in] - contains 8 bits representing classification flags.
explicit Classification(boost::uint8_t const& flags)
: m_flags(flags)
{}
/// Initializes classification with values of given compounds.
/// @param cls [in] - index of Standard ASPRS classification as
/// defined in the lookup table, from 0 to class_table_size - 1.
/// @param s [in] - If set then this point was created by a technique other than
/// LIDAR collection such as digitized from a photogrammetric stereo model.
/// @param k [in] - If set, this point is considered to be a model keypoint and
/// thus generally should not be withheld in a thinning algorithm.
/// @param w [in] - If set, this point should not be included in processing.
Classification(boost::uint32_t cls, bool s, bool k, bool w)
{
SetClass(cls);
SetSynthetic(s);
SetKeyPoint(k);
SetWithheld(w);
}
/// Copy constructor.
Classification(Classification const& other)
{
m_flags = other.m_flags;
}
/// Assignment operator.
Classification& operator=(Classification const& rhs)
{
if (&rhs != this)
{
m_flags = rhs.m_flags;
}
return *this;
}
/// Conversion operator.
/// Returns classification object as in form of std::bitset<8>.
operator bitset_type() const
{
return bitset_type(m_flags);
}
/// Named accessor converting Classification to std::bitset<8>.
bitset_type GetFlags() const
{
return bitset_type(m_flags);
}
/// Raturns name of class as defined in LAS 1.1+
/// Finds class name in lookup table based on class index
/// as defined in classification object.
std::string GetClassName() const;
/// Returns index of ASPRS classification as defined in the lookup table.
boost::uint8_t GetClass() const;
/// Updates index of ASPRS classification as defined in the lookup table.
/// Valid index is in range from 0 to class_table_size - 1.
/// For LAS 1.0, this static number may be invalid and
/// extend up to 255 classes stored in variable-length records.
/// @note Currently, libLAS does not support classification based on table
/// stored in variable-length record. Only Standard ASPRS classification
/// table is supported.
/// @exception Theoretically, may throw std::out_of_range in case index
/// value is not in range between 0 and class_table_size - 1.
void SetClass(boost::uint32_t index);
/// Sets if this point was created by a technique other than LIDAR
/// collection such as digitized from a photogrammetric stereo model.
void SetSynthetic(bool flag)
{
m_flags[eSyntheticBit] = flag;
}
/// Tests if this point was created by a technique other than LIDAR collection.
bool IsSynthetic() const
{
return m_flags[eSyntheticBit];
}
/// Sets if this point is considered to be a model keypoint and
/// thus generally should not be withheld in a thinning algorithm.
void SetKeyPoint(bool flag)
{
m_flags[eKeyPointBit] = flag;
}
/// Tests if this point is considered to be a model keypoint.
bool IsKeyPoint() const
{
return m_flags[eKeyPointBit];
}
/// SetTests if this point should excluded from processing.
void SetWithheld(bool flag)
{
m_flags[eWithheldBit] = flag;
}
/// Tests if this point should excluded from processing.
bool IsWithheld() const
{
return m_flags[eWithheldBit];
}
/// Compares this classification object with other one.
/// Comparison is preformed against set of bit flags stored
/// in both objects.
bool equal(Classification const& other) const
{
return (other.m_flags == m_flags);
}
private:
bitset_type m_flags;
void check_class_index(boost::uint32_t index) const;
};
/// Equal-to operator implemented in terms of Classification::equal.
inline bool operator==(Classification const& lhs, Classification const& rhs)
{
return lhs.equal(rhs);
}
/// Not-equal-to operator implemented in terms of Classification::equal.
inline bool operator!=(Classification const& lhs, Classification const& rhs)
{
return (!(lhs == rhs));
}
/// The output stream operator is based on std::bitset<N>::operator<<.
/// It outputs classification flags in form of string.
/// Effects promised as by
/// @link http://www.open-std.org/Jtc1/sc22/wg21/ Standard for Programming Language C++ @endlink,
/// 23.3.5.2:
/// Each character is determined by the value of its corresponding bit
/// position in *this. Character position N - 1 corresponds to bit position
/// zero. Subsequent decreasing character positions correspond to increasing
/// bit positions. Bit value zero becomes the character 0, bit value one
/// becomes the character 1.
inline std::ostream& operator<<(std::ostream& os, Classification const& cls)
{
Classification::bitset_type flags(cls);
return (os << flags);
}
} // namespace liblas
#endif // LIBLAS_LASCLASSIFICATION_HPP_INCLUDED
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