object based image classification workflow in Orfeo Toolbox

preview_player
Показать описание
This video shows workflow for supervised object based image classification performed with Orfeo ToolBox.

#OrfeoToolbox #OBIA #objectbasedclassification #supervisedclassification #tutorial #deeplearning #remotesensing #machinelearning #remotesensing #SVM #randomforest #artificialneuralnetworks #imageclassification
Рекомендации по теме
Комментарии
Автор


Great video, working on it recently. I was lucky enough to see this video in time.

longyuan
Автор

Hi, the point file you use at 8:07. What kind of file is this? What kind of information does it have? Is it just points with the right class of that place?

lisaron
Автор

Thank you for that video! Great idea to use points for an "in-situ" sampling and then later add the labels to the polygons.

jensoldeland
Автор

very good video, but I want to ask at minute 23.08, where did you get the classification_result file from? thank you very much for the tutorial

michaelalvindomarbun
Автор

Hi! Thancks for the video. Where can i get the data?

naso_
Автор

Hello, can you upload the exercise data? Thanks!

eddisonjose
Автор

Sorry to bombard you with questions! In 'Train Vector Classifier' for 'Field names for training features', why do you select only mean values and not var values?

markbrown
Автор

I need to delineate shoreline boundary . 1. Can I able to do for the coast boundary. 2. Is there any method for classifying the panchromatic satellite image along the coast

marydivya
Автор

Thank you for videolesson. Could you tell me what file format of input image did you use (5:55)?

ЛесяСмирнова-ъл
Автор

awsome tutorial mate, i wanted to ask is there any way to apply random forest classifier in this process ?

fdybunti
Автор

Wanted to know the file you've used for extracting the polygon features...is it a simple segmented file or did you run zonal statistics on the file?

aditirastogi
Автор

Thank you for the video. The OTB was recently updated to 7.0. "User definied input centroids" has been added. Can you explain how to process the data?

seong-il
Автор

Great video! Im new with geoprocessing. How can I create an agriculture mask vector as in the video? Thanks a lot!

eng.heliomedeiros
Автор

Hi, thanks for the video. How many dates and which S2 bands did you use in the raster stack?

briancarthy
Автор

I've worked through this now and I seem to be missing some of the finer scale features. Is there a way to reduce the size of the segments to take finer scale features into account? Also is there anywhere that describes the variables that you are changing? Is it a case of adjusting the variables manually until you get a good result?

markbrown
Автор

Sir, I want to work on Sentinel-2 data in QGIS using OTB but after downloading the Dataset from ESA Copernicus open access hub, I can't display or add the dataset in my project so I can't start analysis using OTB. Please help me or suggest any tutorials if you have any.

sawon_stories
Автор

Can you inform me about your points please? Are they your "training samples" and you are just using points instead of polygons?Thanks!

mattrobinette
Автор

Thank you very much sir, it is a very useful video.
I am interested in agricultural field segmentation; Should I have a large number of images (large time series) to get a precise segmentation ??

cars_worldcw
Автор

I have a problem sir: for new OTB versions, how can we write the list of field names for training features

cars_worldcw
Автор

How do you get the Sentinel 1 and Sentinel 2 data to match up?

markbrown