README.md

Installation

#!bash

python setup.py install

HOWTO: Using this project

Showing an image

#!bash

python app.py --show -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic

Histogram Matching

Since we have 2 instruments we use -i vir for VIRS and -i mod for MODIS.

Histogram matching between two images

#!bash

python app.py --hist -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_2025_RS_T_MOD.mat --sensor mw_sic

Histogram matching to the get an image of the day for a one instrument

#!bash

python app.py -i vir --imgday --sensor mw_sic

Single Image Full (Images and histogram)

#!bash

python app.py -shist -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic

Plot histogram for 2 images

#!bash

python app.py -histplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic

Plot the histograms for histogram match in 2 images

#!bash

python app.py -multiplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic

Plot Source and Template and Match (Hist. Matched) images side-by-side.

#!bash

python app.py -sideplot -img G_2015_336_0041_RS_N_VIR.mat -img2 G_2015_336_0219_RS_N_VIR.mat --sensor mw_sic

Sea Ice Report

Run the full Sea Ice Report

Lense can be specified, however it defaults to using the lense argument: --sensor 'mw_sic'

#!bash

python app.py -i vir --sic

Run a Sea Ice or Land Distribution (pie chart)

#!bash

python app.py -d -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic

Runa SIC or Land Silhoutte Report

#!bash


python app.py -s -img G_2015_336_0041_RS_N_VIR.mat --sensor mw_sic

Run a surface analysys Report

#!bash

python app.py -srf -img G_2015_336_0041_RS_N_VIR.mat

Show SIC, LM Overlapping

#!bash

python app.py -overlap -img G_2015_336_0041_RS_N_VIR.mat

Color Report

Run a full report on an image

#!bash


python app.py -c -img G_2015_336_1041_RS_N_VIR.mat

get the RGB of an image

#!bash

python app.py -rgb -img G_2015_336_0041_RS_N_VIR.mat --sensor ibands

Show Water Ice Cluster with K-means

#!bash

python app.py -water -img G_2015_336_0041_RS_N_VIR.mat