Automatic Road Extraction From Satellite Imagery/Aerial Photographs in ArcGIS Pro pt.2 Build Model
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- Опубликовано: 1 окт 2024
- Second video about automatic road extraction from satellite imagery or aerial photographs in ArcGIS Pro. This time is about how to build model, training deep-learning model, and use the model for inferencing the road network in another imagery using the generated model.
First Part in this link • Automatic Road Extract...
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to explain, i have ortho collected from drone need to automatic extraction of building, tress, can i do using the above method?
yes, but there will be some differences like I have explained
@@GEO2004 thank u
Hi can we do any other model development like,instead of road,buildings,trees,etc? By the way ur contents are so good
Of course, there are so many DL models for the topic you are mentioned
with the same method as that as the video for roads right?
thank u for replying
Yes, if we talks about general workflow, however, there would be some differences about how to get the training samples,differences in suitable samples format, training strategies, model selection, etc,
Inferencing process will also have some differences,
Sir please guide me i am getting error in second phase while training the model please help me as there is no other way to solve it
I can't help if you are not telling me what is the error message you stumped
Hi.. I get this error when I use my own data. can u give me the solution to solve this error? .. Error:Given groups=1, weight of size [64, 3, 7, 7], expected input[8, 4, 256, 256] to have 3 channels, but got 4 channels instead.Training was not successful.
Either you are using different data between training process and inference/extraction process, or wrong setting in stride and batch size paramereters, or you are using models that is not suited for your data.
@@GEO2004 I used one raster data tiff format I exported from qgis esri basemap and one shp road network in polygon format ..
Maybe you must remove the alpha channel from your tif to make it works as 3 bands rgb raster
@@GEO2004 Thank you this works.. but in the very end result, when I do the classify pixel using deep learning I got no road network extraction from the trained model. Maybe my road network polygon input data is too thin? is it a possible cause of it?
Yeah it can be,or else,the training is not good, so the model performance when it is applied very poor
Halo mas, maaf mau tanya cara atasi error ini gimana ya mas? "Error:threshold_otsu is expected to work with images having more than one color. The input image seems to have just one color 3..Training was not successful." Data yang saya gunakan adalah data Orthofoto dengan format ".ecw" dan sudah saya lakukan proses Export Training Data for Deep Learning, namun selalu gagal saat melakukan Proses Train Model menggunakan MTRE itu mas. Mohon arahannya, terima kasih.
Citranya warna apa hitam putih? Soalnya itu errornya karena citranya ndak rgb 3 warna
warna mas citranya, itu saya pake foto udara RGB
Kemungkinan karena format ecw nya sih, coba pake formst geotif aja
An excellent video!!! I am really grateful to you, Sir. Please continue your nice work. Can you please suggest me the best metadata and model type for built-up area extraction?
That is difficult, everything depends on purposes and goals
Hello sir, i have task to extract roads and change detection having data set of satellite Gaofan 2 and 6. Through machine learning please guide me that how can I extract or which method I can use
Just learn what I taught on the video,
hello, is possible to do this process with an orthomosaic? do yo have maybe a tutorial video of that? thank you
Great work
Sure, only you must do transfer learning or even perform model training from the scratch, so the model will be fine turned to your data
is it the same processing compared to ecognition features? using the orthophoto data and combine it with DTM
Absolutely different,
Sir please tell me how you did the file you entered in the input features class or classify raster or table cell
it was a simple large scale road polygon layer that I am put it into the input
@@GEO2004 Sir, if there is any video on how to get it or make it, please let me know.
It is just a simple polygon layer about road network. You can made it by yourself using satellite imagery or if you have access to your country's national topographic basemap, you can just use them.
There are also numerous video on youtube about how to make polygon layer based on satellite imagery drape
Mas utk maksimalin hasilnya apakah ngaruh dari resolusi foto udara?
Oh iya jelas, resolusi, kecerahan dan kontras foto, akan sangat berpengaruh juga terhadap hasil
@@GEO2004 Ok mas, saya kan udah buat model di raster A, dan bisa klasifikasi pixel walaupun kurang sempurna.. kemudian saya pake tsb utk raster B tp hasilnya Error 999999, apakah tiap model hanya berlaku di 1 lokasi (sesuai source training data) saja atau bisa dipake di beberapa lokasi raster lain?
Seharusnya bisa, error 9999 itu memang paling menyebalkan karena sumbernya susah ditracing, kalau dugaanku, inferencing modelnya belum sempurna untuk diterapkan di data lain, saranku di training lagi dengan data sample yang lain melalui transfer learning, dan hati2 juga jgn sampai terjadi overfitting,
@@GEO2004 Ooh gt mas, sampean pernah nyoba pake tensorflow mas?
Sudah, banyak yang sudah saya coba