Questions tagged [machine-learning]

Field of study that gives computers the ability to learn without being explicitly programmed

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28 views

KeyError: “The name 'ImageTensor:0' refers to a Tensor which does not exist. The operation, 'ImageTensor', does not exist in the graph.”

I'm trying to use ArcGIS Pro 2.3 and this tutorial (https://medium.com/geoai/high-resolution-land-cover-mapping-using-deep-learning-7126fee571dd) to use the function "Classify Pixels Using Deep ...
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0answers
36 views

Top conferences and journals in GIS [closed]

I want to submit a paper for some research that I have done. What are the top conferences and journals in this field?
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0answers
26 views

Is there an existing solution for pattern recognition?

I've been looking at modeling potential avalanche hazard based on terrain characteristics. I have a vector layer showing historical avalanche paths and have raster layers for elevation, aspect, slope,...
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103 views

ArcGIS: Train Support Vector Machine Classifier on a Segmented Raster

I have a raster (.jpg) which I have segmented utilising Segment Mean Shift to smooth out JPEG artefact (aim is to classify it as accurately as possible for conversion into vectors). START .JPG Input ...
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0answers
412 views

Running OTB Random Forest Classification

I am having trouble processing a satellite image using the RF (Random Forest) classification, that is a machine learning algorithm in the Orfeo Toolbox of QGis 2.18.1. When I run the Tool, the ...
2
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1answer
215 views

Split GeoTIFF into multiple cells with Rasterio

I'd like to create training data for a machine learning pipeline. To do this I want to take a large raster and split it into multiple equal sized cells. I have a very basic loop for generating the ...
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0answers
11 views

Availability of super-resolution reconstruction (SRR) techniques in GIS software

I'm doing a little research of my own regarding super-resolution reconstruction in general and in the context of GIS software. I'm well aware of pansharpening techniques which became a standard in ...
4
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0answers
99 views

Reproducing Paper Results for Land Cover Mapping of Satellite Imagery?

I am interested in training a neural network to perform pixel-based classification for land cover mapping of satellite data. In order to learn more about this interesting field I am trying to ...
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1answer
177 views

How to convert masks generated by rasterio to channel last mask

The problem is about using rasterio to generate mask from GeoJSON file which contains geographic coordinates. The function that I used is from: from rasterio.tools.mask import mask with rasterio....
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228 views

SVM classification in R

I have the following dataframe containing training data to be used in a SVM classification. The first column ID must be avoided and the column Class contains the response variable. > training_S ...
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0answers
86 views

Choosing statistical method for determining different crop types? [closed]

Task: Determining different crop types from satellite imagery. Tools at hand Training data set which includes RGB, longitude and latitude, NDVI and crop type for each pixel (10m by 10m) Test data ...
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2answers
259 views

Sentinel 2 Bands + Deep Learning

I am trying to classify 9 different classes of Land use deploying Resnet Architecture. Sentinel images come with 13 bands and in RS we normally combine different bands for different classes for ...
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2answers
163 views

Is the Random Trees Classifier in ArcMap 10.5 equal to Random Forest?

Is the Random Trees Classifier in ArcMap 10.5 the same as what is named Random Forest in other applications/software? I see that the parameters are the same and the design seems the same, but I need a ...
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0answers
87 views

Crash after performing random forest using enmap box and dzetsaka

i want to perform random forest classification using tools like dzetsaka and enmap box on qgis 3.2 version but after classification completes upto 50 percent qgis crashes what can be the issue
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1answer
72 views

Getting features from a multi-spectral image [closed]

What are the features that are present in a multi-spectral image which can be used for classification? Also, how do we get these values from the multi-spectral image? I am using Python environment.
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0answers
52 views

Training Sample Automation

Background, in case it helps: My objective is to (eventually) fully automate the mass digitization of grain silos. To this end, I have set out to first find a way to automatically identify silos in a ...
1
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1answer
69 views

How do I export training samples from IDRISI?

I have been tying to implement this paper on an SVM classifier wherein I need to extract training samples from an image and run an SVM classifier on it. The paper says the following: IDRISI Andes ...
4
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2answers
3k views

Performing deep learning land cover classification using R?

I am really new to Deep Learning and, unfortunately, I can't find example codes on land cover classification other than this one where the author wrote a script in R for a large dataset. The main ...
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0answers
300 views

Pattern recognition - machine recognition of plausible shape of a polygon

I have a schoolproject where the task is to locate all possible shapes (of a certain complex polygonic structure) in a layer of several heterogenous polygons. And now the task is to find all the ...
1
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1answer
3k views

Classify satellite Image using Machine Learning [closed]

I am new to the field of Machine Learning and I want to know what all way I can implement machine learning to classify any satellite image.
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0answers
505 views

Using Random Forest for big data?

I used Random Forest regression for my work, but now I have another problem because I have really big data. I am using a VHR and this is much raster information. My script in R is this: rand.zero <...
7
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2answers
1k views

Extracting building footprints from Sentinel-2 imagery

My attempt to extract building footprints from Sentinel-2 images using machine learning algorithm trained on Sentinel-2 images produced a lot of false positives and there is no sign that the algorithm ...
14
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3answers
4k views

Distinction between pixel-based and object based classification?

I am struggling to clearly understand the distinction between pixel-based and object-based classification in the remote sensing domain and am hoping someone from this community can provide insight. ...
1
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0answers
225 views

Identify Health Centre Location using machine learning ( Optimisation ) [closed]

I am trying to identify locations of where new health centres could be built in the country using Machine Learning (optimisation) and R programming language. I currently have the latitude and ...
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4answers
5k views

Using supervised vs unsupervised classification in identification of region of interest?

I was introduced to machine learning and remote sensing recently. My task was to classify the satellite images into vegetation and non vegetation. We were introduced to two approaches. Supervised ...
2
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1answer
423 views

OrfeoToolbox SVM classifier module doesn't produce a model for final Prediction

I'm having a struggle with SVM classification in QGIS OrfeoToolbox. I used to work with RandomForest in R, but now I'm trying to figure out how the SVM algorithm works. I guess there would also be ...
-1
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1answer
1k views

How to change Numpy array shape [closed]

I have an array (Numpy of shape (100, 256, 256). How can I change this to (100, 256, 256,3)? I tried doing reshape but it doesn't work, Can anyone help me.
3
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1answer
60 views

Predicting the location where new health centres should be built using R,Machine Learning

I have the geolocation of health centres in Ireland mapped in Tableau and I am looking to try to implement a machine learning aspect to this project where new health centre locations are predicted in ...
0
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1answer
701 views

How to convert lat long coordinates into categorical value in R?

I have latitude, longitude coordinates as follows latitude longitude 41.775974 -71.329887 42.184913 -71.9179 41.682957373 -71.56037000 I want to use it as one of the features in a ...
4
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3answers
12k views

Converting lat/lon coordinates to x/y?

For machine learning I need to convert array of coordinates in lon/lat format to simple floats where x=0,y=0 will be a most south/west coordinate and x=1,y=1 most north/east, and x=0.5,y=0.5 will be ...
3
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1answer
567 views

QGIS OTB Machine Learning algorithms do not create output

I am attempting to calculate and save an image statistics file on a landsat 8 scene. When attempting the virtual raster and separate band files no output is created: 2016-04-01T16:26:13 0 OTB ...
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0answers
66 views

How analyze reliability of position of new point based on point data [closed]

I am working on filter for biogeographical data. It is based on citizen science principle. People put new point data to database and I want add information about "reliability" or probability (maybe ...
7
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1answer
452 views

1-center and k-center problem / maxmin facility problem in Post

is there anybody who has already solved the 1- and k-center problem within PostGIS (optionally with distance metric obtained by pgrouting)? References: 1-center problem in Wikipedia and graph center ...
1
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0answers
409 views

Needed help to launch SVM classification in eCognition

I would like if somebody help me to launch SVM classification in eCognition. Have you met any tutorials? I was searching through ecognition community, but there I find only basic KNN supervised ...
2
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0answers
352 views

Symbolic machine learning with OpenStreetMap data [closed]

I want to apply symbolic machine learning (e.g. case-based reasoning, inductive logic programming) to OSM data. In detail, I want to use OSM Map Features to predict characteristics of residential ...
2
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1answer
3k views

Computing unsupervised random forest classification in R?

I want to compute an unsupervised random forest classification out of a raster stack in R. The raster stack represents the same extent in different spectral bands and as a result I want to obtain an ...
9
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1answer
3k views

Is machine learning used much in GIS?

I'm new to GIS. Is machine learning used much in this field, and where? I'm investigating a job opportunity with a mapping company working on traffic awareness. My background is in supervised machine ...
31
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3answers
14k views

How to perform Random Forest land cover classification?

This is a follow-up to a previous post: Machine Learning Algorithms for Land Cover Classification. It seems that the Random Forest (RF) classification method is gaining much momentum in the remote ...
36
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7answers
8k views

Machine Learning Algorithms for Land Cover Classification

I am interested in learning what software exists for land classification using machine learning algorithms (e.g. k-NN, Random Forest, decision trees, etc.) I am aware of the randomForest package in R ...