Multispectral Camera Simultation Model

This Python package offers a simple way of simulating a response of multispectral camera based on hyperspectral input.

To install this, run pip install ms_camera_model.

Example simulation

import logging
import sys

import matplotlib.pyplot as plt

from ms_camera_model import (
    FilterSensorUnit,
    HyperspectralImageData,
    MultispectralCameraModel,
)
from ms_camera_model.image_visualiser import imshow

logging.basicConfig(level=logging.INFO,
                    format="%(asctime)s [%(levelname)s] -> %(message)s",
                    datefmt="%Y-%m-%d %H:%M:%S%p",
                    handlers=[logging.StreamHandler(sys.stdout)])

filter_paths = ["path/to/filter.xlsx"]

sensor_paths = ["path/to/sensor.xlsx"]

hs_path = "path/to/hyperspectral.hdr"
hs_data = HyperspectralImageData.import_hs_img(hs_path)

band_names = ["band1"]

fs_units = []

for i in range(len(filter_paths)):
    fs_unit = FilterSensorUnit.from_excel(filter_paths[i], sensor_paths[i])
    fs_units.append(fs_unit)

ms_cam_model = MultispectralCameraModel.create_model(hs_data, fs_units, band_names)
ms_cam_model.run_simulation()

imshow(ms_cam_model.out_data, [0])
plt.show()