HistoricalMap.function_historical_map.classifyImage Class Reference

Classify image with learn clasifier and learned model. More...

Collaboration diagram for HistoricalMap.function_historical_map.classifyImage:

Public Member Functions
def	initPredict
def	rasterMod
def	vectorMod
def	scale
	Function that standardize the data. More...
def	predict_image
	The function classify the whole raster image, using per block image analysis. More...

Detailed Description

Classify image with learn clasifier and learned model.

Create a raster file, fill hole from your give class (inClassForest), convert to a vector, remove parcel size which are under a certain size (defined in inMinSize) and save it to shp.

Input :
    inRaster : Filtered image name ('sample_filtered.tif',str)
    inModel : Output name of the filtered file ('training.shp',str)
    outShpFile : Output name of vector files ('sample.shp',str)
    inMinSize : min size in acre for the forest, ex 6 means all polygons below 6000 m2 (int)
    TODO inMask : Mask size where no classification is done                                     |||| NOT YET IMPLEMENTED
    inField : Column name where are stored class number (str)
    inNODATA : if NODATA (int)
    inClassForest : Classification number of the forest class (int)

Output :
    SHP file with deleted polygon below inMinSize

Definition at line 312 of file function_historical_map.py.

Member Function Documentation

def HistoricalMap.function_historical_map.classifyImage.initPredict	(		self,
			inRaster,
			inModel
	)

Definition at line 334 of file function_historical_map.py.

def HistoricalMap.function_historical_map.classifyImage.predict_image	(		self,
			inRaster,
			outRaster,
			model,
			inMask = None,
			NODATA = -10000,
			SCALE = None
	)

The function classify the whole raster image, using per block image analysis.

The classifier is given in classifier and options in kwargs

Input :

inRaster : Filtered image name ('sample_filtered.tif',str) outRaster :Raster image name ('outputraster.tif',str) model : model file got from precedent step ('model', str) inMask : mask to NODATA : Default set to -10000 (int) SCALE : Default set to None

Output :

nothing but save a raster image

Definition at line 492 of file function_historical_map.py.

def HistoricalMap.function_historical_map.classifyImage.rasterMod	(		self,
			rasterTemp,
			inClassForest
	)

Definition at line 364 of file function_historical_map.py.

def HistoricalMap.function_historical_map.classifyImage.scale	(		self,
			x,
			M = None,
			m = None
	)

Function that standardize the data.

Input: x: the data M: the Max vector m: the Min vector Output: x: the standardize data M: the Max vector m: the Min vector

Definition at line 460 of file function_historical_map.py.

def HistoricalMap.function_historical_map.classifyImage.vectorMod	(		self,
			rasterTemp,
			inMinSize,
			outShpFile
	)

Definition at line 406 of file function_historical_map.py.

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The documentation for this class was generated from the following file:

• function_historical_map.py