An ensemble classifier that consists of many decision trees and outputs the class that is the mode of the classes output by individual trees

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3answers
62 views

Pixel-based and object-based classification!

I would like to understand if pixel-based classification algorithm (e.g. Maximum Likelihood classification ) can be used for object-based classification (i.e. after a segmentation procedure). On the ...
5
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3answers
196 views

How to generalize training data for a random forest classifier?

I am working with a random forest classifier in eCognition (new with eCognition 9.0). The image shows 8 NAIP tiles I am attempting to classify using approximately 100 training points. The training ...
3
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1answer
90 views

Classified Images of RandomForest-Classification look clustered

I performed a RF-classification. I have 6 bands, ~250 trainingpoints in a shapefile, OOB estimate of error rate: 1.56% Picture of take trainingpoints added. My code: ...
1
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1answer
102 views

Rf-Classification seems to work but gives an error 15 seconds later

This is my code. It classifies an imagery-stack(xvars) and reads a shapefile with training-points. If I run single rows they work. Even if I run them all, they work and start to predict but after 15s ...
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1answer
127 views

I don't find the mistake in my RandomForest-classification

I am trying to make a RF-classification of aerial-imagery to specify tree-species. I extracted 3 bands and made a .csv file with columns: band1 band2 band3 x y class The band columns include ...
2
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1answer
143 views

Random-Forest Classification of 10cm Imagery for species-distribution in R (no point-shapes)

I'm actually trying to classify 10cm-resolution images with the RF-package. I do this to separate some species in the forest, seen on my images. While I was searching for an answer, I found the ...
3
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0answers
63 views

Multispectral image segmentation for natural-resources applications using R

R has the capacity for image segmentation, although all of the examples I have come across utilize a single band for the segmentation (example). I am interested in combining R's capacity for random ...
2
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0answers
53 views

R: Can raster predict function pass to predict.rfsrc (a prediction function in a parallel verion of RandomForest)?

It seems that raster predict function can pass to predict.randomForest by setting the "type='response'". I am using a parallel version of randomForest package called the "randomForestSRC" and I am ...
2
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1answer
181 views

Running Random Forest Classification on WorldViev-2 image in R - problem

I have a problem with performing RF in R for a WorldView-2 Scene. I've never ever before used R for remote sensing classification, so I simply followed what is written here. I've loaded scene (8-band ...
2
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2answers
509 views

Using Regression Trees in ArcGIS

Hi I have a follow up question to this post: Statistical analyses for survey against raster? I have a very similar problem as the initial poster David. I am creating a multivariate model from ...
3
votes
2answers
442 views

How to utilise single 'randomForest' model for several rasters in R?

I am using randomForest package in R to derive species distribution models. When I predict the model to the RasterStack containing the predictors in which the values were extracted to build my model, ...
2
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1answer
1k views

Image classification random forest [duplicate]

I am a newbie in R. I want to classify images using random forest in R. I am trying to learn the codes. But in the mean time, is there a push button (like a gui) in R that can be used for ...
4
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0answers
51 views

ArcGis Raster Resampling Question [duplicate]

Possible Duplicate: How do you decide what interpolation method to use for resampling raster data? I want to interpolate a certiain target variable over a large territory. I trained a ...
11
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1answer
2k views

How to perform Random Forest land classification?

This is a follow-up to a previous post: Machine Learning Algorithms for Land Classification. It seems that the Random Forest (RF) classification method is gaining much momentum in the remote ...