在 python 中读取 Hyperion Satellite E-01 数据集(.L1R 文件)

Reading Hyperion Satellite E-01 dataset (.L1R file) in python

我正在尝试找到一种方法来读取文件扩展名为 .L1R 的 hyperion e-01 卫星数据(高光谱数据),在 python 中。请建议任何图书馆在 python.

中阅读此数据

这是一个从.L1R文件中读取HDF数据并保存为ENVI格式的函数。如果您只是想将数据作为 numpy 数组读取,请将其修改为 return data 并省略函数定义的其余部分。

from pyhdf.SD import SD
import spectral as spy
import os

def hdf4_to_envi(hdf4_filename, envi_hdr=None, outdir=None, inhdr=None,
                 **kwargs):
    '''Converts an Hyperion HDF4 file to ENVI format.

    Arguments:

        `hdf4_filename` (str):

            Name of the HDF4 file (often ends with ".LR1"

        `envi_hdr` (str, default None):

            Name of the ENVI header file to create. A ".img" file will also
            be created. If not specified, the header will have the same name
            as the HDF file with '.hdr' appended.

        `outdir` (str, default None):

            Directory in which to create the new file. If not specifed, new
            file will be created in the same directory as the HDF4 file.

        `inhdr` (str, default None):

            Name of optional ENVI header file from which to extract additional
            metadata, which will be added to the new image header file.

    Keyword Arguments:

        All keyword arguments are passed to `spectral.envi.save_image`.
    '''
    (indir, infile) = os.path.split(hdf4_filename)
    if envi_hdr is None:
        header = infile + '.hdr'
    else:
        header = envi_hdr
    if outdir is None:
        outdir = indir
    fin = SD(hdf4_filename)
    ds = fin.select(0)
    data = ds.get()
    data = data.transpose(0, 2, 1)
    if inhdr is None:
        metadata = {}
    else:
        metadata = spy.envi.read_envi_header(inhdr)
    outfile = os.path.join(outdir, header)
    spy.envi.save_image(outfile, data, ext='.img', metadata=metadata)