Questions tagged [image-classification]

Image classification refers to the task of extracting information classes from a multiband raster image.

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68 views

Looking for a deep learning platform for image recognition, preferably in QGIS

As part of a project I am working on, I am collecting an image training dataset consisting of various images of agricultural fields (details spared for confidentiality). The end goal of the project is ...
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1answer
27 views

Processing and classifying satellite images using Python [closed]

I wish to process and classify Sentinel2-L2A images using solely Python (Google Colab). Is it possible to do such a thing, and if so, what libraries should I use?
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Unsupervised pixel classification in ArcGIS Pro 2.4.0: ISO cluster will not let me classify image into three classes

I am using ArcGIS Pro 2.4.0, and am attempting to classify a field into a schema with three categories: Leaves, Shadows, and Soil. Here is a sample of the original RGB image: Through supervised ...
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37 views

Is atmospheric correction necessary in image classification?

I am classifying Landsat TM and Landsat ETM (level 1) scenes for my study area as part of my research(LU/LC). The scenes are in a single tile and span 5 different timelines. I came across various ...
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34 views

Problem exporting a large classified image in Earth Engine

I am trying to export a GeoTIFF image but it doesn't work. https://code.earthengine.google.com/fe534ace7f3fc4fdfd155ded24155525 When I export the large classified image to Google Drive, I don't get ...
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1answer
28 views

Techniques to map small water bodies in desert

Techniques to map small water bodies in desert I have task to map water bodies in a desert. I used landsat 8 and calculated three indices called NDMI, Tasseled Cap Wetness, & AWEIsh. I am ...
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1answer
7 views

What should be the spatial resolution of the classification output if I am using all the bands of Sentinel-2 sensor?

Sentinel-2 sensor have 10 m, 20 m and 60 m pixel resolution depending upon the wavelength band. If I use all the available bands in my classification, what should be the resolution of the output ...
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1answer
53 views

Classification error “Layer error: Property 'class' of feature '00000000000000000000_0' is missing”

I am trying perform a Random Forest classification using an uploaded shapefile of polygons with only one class = 0. Get error Cover crop classification: Layer error: Property 'class' of feature '...
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30 views

Google Earth Engine SNIC: Why is changing the compactness parameter not altering the segments?

I'm using Google Earth Engine's SNIC algorithm for an OBIA classification. When trying to play around with the segmentation parameters to get nice segments, I noticed that altering the compactness ...
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32 views

select waters pixels in GEE as magic wand tool

I am interested to map small water bodies in a desert . I used Gond method described in an article entitled "An Assessment of Surface Water Detection Methods for Water Resource Management in the ...
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1answer
45 views

Unsupervised classification “Error: Image.sample: Computed value is too large.”

I am trying to do an unsupervised classification for a small area in Barcelona. I uploaded an RGB image of 0.25cm of spatial resolution and I derived some indexes from it. Then, I added all the ...
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1answer
75 views

No Data was found error after applying a MaxEnt classifier (GEE)

I am trying to redo this tutorial: https://developers.google.com/earth-engine/classification, using the MaxEnt classifier with my data. Code: https://code.earthengine.google.com/...
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Need assistance in project regarding Change Detection

My task initially was to classify the area into land-use classes like forest, sparse vegetation, agriculture, river, etc I had done that by clustering the whole area and then reclassing it. I had to ...
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1answer
29 views

Unable to export Testing and Training data as TFRecord using Google Earth Engine

While trying to export training (about 700 points) and testing data (about 300 points) as TFRecord, I am getting the following error: User memory limit has exceeded The code I have written, is ...
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39 views

Running complex ML model highest resolution tiles

I was thinking of using Google Earth Engine to run a relatively complex ML model (tensorflow based), on high resolution tiles (RGB). About 0.5m/px input would be the best. I need to process entire ...
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1answer
29 views

What is an appropriate scale and numPixels for unsupervised classification in google earth engine

I am trying to do an unsupervised classification based on a sentinel-2 composite. However, I am running quickly into time out and maximum memory problems. I am sure that it has to do with the scale ...
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32 views

Is panchromatic usable for supervised classification schemes in R or QGIS?

I am using Worldview-2 and Worldview-3 panchromatic images from 2019. I am looking at discrete topographical features which are easily delineated as polygon ROIs. However, I only have this ...
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1answer
51 views

How to chessboard segment landsat pixel edges in python?

Does anyone know how to do a chessboard segmentation (in the same way that ecognition does) that will select all the edges of a Landsat pixel in python/a Jupyter notebook? Given that I can use the ...
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270 views

Encoding categorical variable for random forest with sklearn

I have a random forest model that works pretty well, taking a bunch of vanilla remote sensing raster data as input. I think it could be improved with addition of some information that I currently have ...
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98 views

Validation SVM classification on Google Earth Engine

Can someone please help me to write the code for the Validation of the classified images resulted from a fusion between Landsat and Corona images. The code below but I keep getting errors about the ...
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33 views

Number of pixels for training areas in Semi-Automatic Classification Plugin

I'm trying to make a supervised classification using QGIS and Semi-Automatic Classification Plugin using high resolution images (5 m). I wonder how many samples I need to have for an efficient ...
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28 views

When creating a confusion matrix, can you have more ground-truth points than the recommended 10-times the number of classes you have?

Using ArcGIS Pro, I classified a field of grain sorghum (supervises, pixel-based support vector machine) using 5 classes: Soil, Shadows, Leaves, Heads, and Ground targets (this was a UAS study). The ...
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41 views

gtk.css:2:33: Failed to import in Grass GIS

When first I run GRASS GIS 7.6.0, there is an error message : (gis_set.py:4772): Gtk-WARNING **: 16:05:43.648: Theme parsing error: gtk.css:2:33: Failed to import: Error opening file /home/mega/....
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1answer
272 views

Implementing proportional stratified random sample in R

I've completed a landcover classification on an Landsat Image and would like to start an accuracy assessment. I'd like a stratified random sample that has a sample number that varies based on each ...
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1answer
56 views

How to randomly stratify sampling within landcover classes?

I'm working on an accuracy assessment of a classified landsat image and I'd like input on the best possible way to generate random points across both the classified image and a ground truth image I ...
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32 views

Get polygons of crop classification from the Land Parcel Information Systems (LPIS)

I'm trying to get\download polygons of fields with crop type. There is a USA database called cropscape which is very friendly. There is also a European one called Land Parcel Information\...
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1answer
105 views

Computing producer and user accuracy for each class in Google Earth Engine supervised classification

I know I can get a confusion matrix and an overall accuracy, but is there a way to calculate producer and user accuracy for each class separately from the Google Earth Engine? This is my validation ...
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1answer
952 views

User memory limit exceeded error for classification in Google Earth Engine

I am trying to do classification using cart. Given below is the code that was used, but I am getting 'user memory limit exceeded' error. Is there no other way to rectify this other than by reducing ...
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50 views

Using point shapefile as training data for example based classification in ENVI

I am trying to undertake a supervised object based classification of vegetation types on a sentinel 2 image. I am having trouble using a point shapefile as training data in the ENVI example based ...
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1answer
67 views

Checking accuracy of supervised classification method in ArcGIS Pro

I have a question about my image classification method in ArcGIS Pro 2.4. I'm looking at a field of grain sorghum and doing a project that requires me to define certain features within the image for ...
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0answers
26 views

Creating training set of strike and dip data (structural geology) using ArcGIS Pro [closed]

I have been using ArcGIS Pro for the first time, and am attempting to create a training set of strike and dip data (structural geology.) I have created the polygons, after creating a new ...
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1answer
105 views

Weed Identification With QGIS [closed]

Does anyone have any experience trying to locate weeds in agricultural drone images? I am currently using Dztesaka classification tool to find weeds. It works pretty good. But there may be some ...
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29 views

Number of features does not match for my classification of each pixel

I'm running a rating on a my clip from Sentinel-2 as a reference to the diagram shown on: https://github.com/ceholden/open-geo-tutorial/blob/master/Python/chapters/chapter_5_classification.ipynb ...
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32 views

Export classifier from SCP Plugin for use in other image classification

I have run a classification using the SCP plugin in QGIS. I want to recreate these results in a neighboring area and I am looking for help to see if it is possible to save the classification ...
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1answer
43 views

Generate LULC maps using Sentinel data of European Space Agency?

I found out that Sentinel data is of 10m x 10m resolution whereas LANDSAT data is of 30m x 30m resolution. Did anyone come across research in which Sentinel data is used for making LULC maps or is ...
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1answer
226 views

How to detect green areas in Google Earth imagery using R?

I want to detect urban green areas in Google Earth imagery, using R. I've already downloaded contiguous images and assembled them into a larger image. The above PNG image has 800x769 pixels, but the ...
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33 views

Exporting result of a supervised classification from Earth Engine to drive

I am doing a supervised classification of an image in Earth Engine. I want to export the results of this classification to my drive var seed = 2015; var ft1 = ft.randomColumn('random', seed); var ...
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1answer
395 views

Earth Engine error: Error: Image.select, argument 'bandSelectors':

I have done a supervised classification. The output is an image collection. I cannot export it in drive. Here is the link https://code.earthengine.google.com/ebd671bb75dde4892e3a7e14acdc7d4e var ...
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0answers
34 views

Selecting certain segments when creating training set for classification in ArcGIS?

I am trying to classify an RGB image in ArcGIS 10.7. When I try to use the 'select segment' option to create a training set I am allowed to pick only certain segments to add to my training set. For ...
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1answer
55 views

SVM object based classification QGIS with Orfeo Toolbox. Model outputs incorrect/ invalid

I am trying to run an SVM object based classification on QGIS with Orfeo Toolbox. I have 5x Spectral Tif images of bands; blue,Green, red, Infra-red and Rededge, these were generated from a UAV survey ...
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0answers
103 views

Create binary value by comparing classified image and samples in Google Earth Engine? [closed]

Suppose, in Google Earth Engine, I have a classified image with different classes and some test samples as ground control points. How I can create a Binary feature by comparing classified image and ...
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2answers
70 views

How to define new classes from a change detection raster layer [closed]

As part of my thesis, I'm looking at the atmospheric and landscape effects of the 2018 wildfire in the Algarve. As part of the process, I want to estimate total biomass loss so I have classified two ...
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42 views

Obtaining same classification results using VH and VV polarization for Sentinel-1 data

I am performing an image classification(Random Forest) for obtaining rice and non rice areas from Sentinel-1 data. As a result am obtaining same classification accuracies for both polarizations. I ...
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0answers
39 views

Does contrast stretching help image segmentation and classification?

I am trying to identify and classify marine litter from drone RGB images at beaches. Due to the small size of litter and only having RGB images available, my supervisor recommended to carry out ...
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0answers
29 views

Is there a faster way to assess accuracy of image classification in ArcGIS?

I am trying to perform accuracy assessment on a raster RGB image after supervised classification. I know the normal workflow in ArcGIS would be to create accuracy assessment points, then evaluate each ...
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281 views

How to see classifications of ArcGIS Pro Iso Cluster Unsupervised Classification output raster?

I input a number of raster bands into the Iso Cluster Unsupervised Classification tool and asked for 5 classifications and specified a signature file to be created. The tool ran for a while and then ...
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NoData cells appeared in segemented raster

I am trying to classify an aerial image of a dike into grass and weeds. I used an aerial RGB image of 10 cm resolution being a TIF file. This aerial image is cleaned and contains no gaps. Only outside ...
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1answer
321 views

Classify polygons with Random Forest on Python

I have a segmentation shapefile made with e-cognition containing many polygons of which a part classified for the train file. I would like to classify them by applying labels (e.g. water, vegetation, ...
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0answers
62 views

Supervised Classification within the bounds of a FeatureCollection

I am a bit new to classification within GEE and was hoping to get some help regarding classifying within a specific region. var bands = ['NDVI']; var landSat = ee.Image(ee.ImageCollection('LANDSAT/...
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0answers
31 views

Cannot Load Training Samples to Edit?

I'm trying to do a maximum likelihood classification with supervised training samples. I saved the training samples as a .gsg and I was able to load it into a maximum likelihood classification and ...