资源简介
starfm算法,python实现
It is recommended to use the Anaconda distribution for Python 3. Run the below code from the Anaconda prompt by replacing myenv with a name of your choice. For the full list of requirements, check the requirements file.
conda create -n myenv dask rasterio zarr matplotlib
It is recommended to use the Anaconda distribution for Python 3. Run the below code from the Anaconda prompt by replacing myenv with a name of your choice. For the full list of requirements, check the requirements file.
conda create -n myenv dask rasterio zarr matplotlib
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代码片段和文件信息
import numpy as np
# Set the size of the moving window in which the search for similar pixels
# is performed
windowSize = 31
# Set the path where the results should be stored
path = ‘STARFM_demo/‘
# Set to True if you want to decrease the sensitivity to the spectral distance
logWeight = False
# If more than one training pairs are used set to True
temp = False
# The spatial impact factor is a constant defining the relative importance of
# spatial distance (in meters)
# Take a smaller value of the spatial impact factor for heterogeneous regions
# (e.g. A = 150 m)
spatImp = 150
# increasing the number of classes limits the number of similar pixels
numberClass = 4
# Set the uncertainty value for the fine resolution sensor
# https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/performance
uncertaintyFineRes = 0.03
# Set the uncertainty value for the coarse resolution sensor
# https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-3-olci/validation
uncertaintyCoarseRes = 0.03
# Other global variables
mid_idx = (windowSize**2)//2
specUncertainty = np.sqrt(uncertaintyFineRes**2 + uncertaintyCoarseRes**2)
tempUncertainty = np.sqrt(2*uncertaintyCoarseRes**2)
# Set the size of the slices in which to divide the image
# This number should be multiple of the image height and not bigger than it
# Use bigger size for small images
sizeSlices = 150
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2019-11-27 18:01 starfm4py-master\
文件 35149 2019-11-27 18:01 starfm4py-master\LICENSE
文件 3855 2019-11-27 18:01 starfm4py-master\README.md
目录 0 2019-11-27 18:01 starfm4py-master\Tests\
目录 0 2019-11-27 18:01 starfm4py-master\Tests\Test_1\
文件 180904 2019-11-27 18:01 starfm4py-master\Tests\Test_1\sim_Landsat_t1.tif
文件 180906 2019-11-27 18:01 starfm4py-master\Tests\Test_1\sim_Landsat_t2.tif
文件 180917 2019-11-27 18:01 starfm4py-master\Tests\Test_1\sim_MODIS_t1.tif
文件 180918 2019-11-27 18:01 starfm4py-master\Tests\Test_1\sim_MODIS_t2.tif
目录 0 2019-11-27 18:01 starfm4py-master\Tests\Test_2\
文件 180904 2019-11-27 18:01 starfm4py-master\Tests\Test_2\sim_Landsat_t1.tif
文件 171280 2019-11-27 18:01 starfm4py-master\Tests\Test_2\sim_Landsat_t4.tif
文件 180920 2019-11-27 18:01 starfm4py-master\Tests\Test_2\sim_MODIS_t1.tif
文件 180941 2019-11-27 18:01 starfm4py-master\Tests\Test_2\sim_MODIS_t4.tif
目录 0 2019-11-27 18:01 starfm4py-master\Tests\Test_3\
文件 50378 2019-11-27 18:01 starfm4py-master\Tests\Test_3\sim_Landsat_t1.tif
文件 180907 2019-11-27 18:01 starfm4py-master\Tests\Test_3\sim_Landsat_t4.tif
文件 180935 2019-11-27 18:01 starfm4py-master\Tests\Test_3\sim_MODIS_t1.tif
文件 180925 2019-11-27 18:01 starfm4py-master\Tests\Test_3\sim_MODIS_t4.tif
文件 2410 2019-11-27 18:01 starfm4py-master\Tests\test.py
文件 329 2019-11-27 18:01 starfm4py-master\citation.bib
文件 1455 2019-11-27 18:01 starfm4py-master\parameters.py
文件 2991 2019-11-27 18:01 starfm4py-master\requirements.txt
文件 8035 2019-11-27 18:01 starfm4py-master\starfm4py.py
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