Initial commit

2026-04-10 16:46:45 +08:00
commit 4fd1b0a203
165 changed files with 25698 additions and 0 deletions
--- a/Flexbrdf/hytools/io/neon.py
+++ b/Flexbrdf/hytools/io/neon.py
@ -0,0 +1,71 @@
+# -*- coding: utf-8 -*-
+"""
+HyTools:  Hyperspectral image processing library
+Copyright (C) 2021 University of Wisconsin
+
+Authors: Adam Chlus, Zhiwei Ye, Philip Townsend.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, version 3 of the License.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+NEON AOP HDF opener
+"""
+import h5py
+import numpy as np
+
+
+def open_neon(hy_obj, no_data = -9999):
+    """Load and parse NEON formated HDF image into a HyTools file object.
+
+    Args:
+        src_file (str): pathname of input HDF file.
+        no_data (float, optional): No data value. Defaults to -9999.
+
+    Returns:
+        HyTools file object: Populated HyTools file object.
+
+    """
+
+    hdf_obj = h5py.File(hy_obj.file_name,'r')
+    hy_obj.base_key = list(hdf_obj.keys())[0]
+    metadata = hdf_obj[hy_obj.base_key]["Reflectance"]["Metadata"]
+    data = hdf_obj[hy_obj.base_key]["Reflectance"]["Reflectance_Data"]
+
+    hy_obj.projection = metadata['Coordinate_System']['Coordinate_System_String'][()].decode("utf-8")
+    hy_obj.map_info = metadata['Coordinate_System']['Map_Info'][()].decode("utf-8").split(',')
+    hy_obj.transform = (float(hy_obj.map_info [3]),float(hy_obj.map_info [1]),0,float(hy_obj.map_info [4]),0,-float(hy_obj.map_info [2]))
+    hy_obj.fwhm =  metadata['Spectral_Data']['FWHM'][()]
+    hy_obj.wavelengths = metadata['Spectral_Data']['Wavelength'][()]
+    hy_obj.wavelength_units = metadata['Spectral_Data']['Wavelength'].attrs['Units']
+    hy_obj.lines = data.shape[0]
+    hy_obj.columns = data.shape[1]
+    hy_obj.bands = data.shape[2]
+    hy_obj.bad_bands = np.array([False for band in range(hy_obj.bands)])
+    hy_obj.no_data = no_data
+    hy_obj.anc_path = {'path_length': ['Ancillary_Imagery','Path_Length'],
+                        'sensor_az': ['to-sensor_Azimuth_Angle'],
+                        'sensor_zn': ['to-sensor_Zenith_Angle'],
+                        'solar_az': ['Logs','Solar_Azimuth_Angle'],
+                        'solar_zn': ['Logs','Solar_Zenith_Angle'],
+                        'slope': ['Ancillary_Imagery','Slope'],
+                        'aspect':['Ancillary_Imagery','Aspect'],
+                        'aod': ['Ancillary_Imagery','Aerosol_Optical_Depth'],
+                        'sky_view': ['Ancillary_Imagery','Sky_View_Factor'],
+                        'illum_factor': ['Ancillary_Imagery','Illumination_Factor'],
+                        'elevation;': ['Ancillary_Imagery','Smooth_Surface_Elevation'],
+                        'cast_shadow': ['Ancillary_Imagery','Cast_Shadow'],
+                        'dense_veg': ['Ancillary_Imagery','Dark_Dense_Vegetation_Classification'],
+                        'visibility_index': ['Ancillary_Imagery','Visibility_Index_Map'],
+                        'haze_water_cloud': ['Ancillary_Imagery','Haze_Water_Cloud_Map'],
+                        'water_vapor': ['Ancillary_Imagery','Water_Vapor_Column']}
+
+    return hy_obj