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ドローン画像を高速で処理する方法は？

AkhilChhibber1

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3000枚のドローン画像があり、最終出力として以下を得たいと考えています:<\/P>

1.) 2Dモザイク(tiff)<\/P>

2.) 3Dメッシュ<\/P>

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問題は、drone2mapで3000枚の画像を処理している間に、処理が始まってから3日経過していますが、まだ50%の進捗です。Pix4Dで試しましたが、2000枚以上の画像を処理しようとするとPix4Dがフリーズします。Agisoftも試しましたが、それも遅すぎます。私のPCはi7プロセッサ、64GB RAM、4TBハードディスク、3.5GHzプロセッサ、8GB RAMと十分なスペックですが、それでもうまくいきません。<\/P>

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3000枚のドローン画像を高速に処理して、最終出力である2Dモザイク(tiff)と3Dメッシュを得る方法はありますか？<\/P><\/BODY><\/HTML>

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Mohammed_Hasif_MeeraSyed_Ali

Have you tried processing the same set of images on two different machines: One for 2D product (orthomosaic) and another for 3D product (mesh)?

Hope that saves the processing time considerably.

PrashanthMohan

Hi,

We are also facing exactly similar situation, we are trying to process 1000+ images with Drone2Map.

As mentioned in the above thread, we have partitioned the whole data into 3 datasets and processed individually. The results were individually good but the issue was that the 3 output 3D meshes had distinct spatial shifts. So, we are unable to aggregate the three 3D meshes to visualize the whole area.

Having done this, we came to know that partitioning the large input data into small datasets won't serve the purpose. Thus, we are left with the only option of processing all the input images at single time.

So, kindly suggest on how to accomplish the task without segregation of input data.

Most importantly, even in the processed output 3D meshes, most of the trees are not extruded. While the small shrubs, houses are clearly extruded, we are wondering why trees are not extruded. Note that, we have sufficiently 60% forward overlap and 40% lateral overlap.

As we have been working on this for the last 3 weeks, we have tried all the possible combinations of processing parameters but could not get the trees extruded. Can it be a shortcoming with the back ground algorithms?

PhilRoyal

Hi Akhil -

One thing we have learned in Drone2Map processing is that using GPU accelerated processing helps speed the processing up considerably. This will allow thousands of cores to process your workload. We saw processing of around 1,000 Drone2Map images drop from 23 hours to 8 hours by using a couple of NVIDIA processors. I am not sure how effective it will be processing 2,000-3,000 images (as mentioned by Xander above you may need to break up your areas into smaller parts) but it will make a difference.

XanderBakker

Hi Akhil Chhibber ,

There might be trials available have a look at AWS or Azure or any other cloud server. Drone2Map is an application that can be installed at the server without any dependencies to other software of the ArcGIS platform.

Also see if perhaps you could process the data (perhaps local) with the rapid template and less accurate output just to validate the coverage of the images and quality in the report. Or process in chunks (with overlap).

XanderBakker

Hi Dan Patterson , this refers to processing images captured by drone with Drone2Map (or other specific software). Drone2Map allows you to define the amount of cores you want to dedicate to the process. So now ArcMap or Pro involved in these steps.

DanPatterson_Retired

If you are processing in arcmap your memory is still limited to 4 Gb on a good day. If you have background geoprocessing enabled, that will improve things .. but .. only if the tool you are using supports it.

Processing in batches/chuncks may improve things, or do your work in ArcGIS Pro to take full advantage of memory in any circumstance. Check the tools that you use and see if background geoprocessing is supported would be a first step, switch to pro if the tool(s) is/are available there, then process in chunks as the final option.

AkhilChhibber1

Are there some cloud server available for trial such that we could just try processing?????

XanderBakker

You can spin up a server in the cloud with for instance 48 cores and have a go at it. I heard about cases that processing on a desktop could take several days and running Drone2Map on a server in the cloud the images were processed in less than a hour. Having a server in the cloud for a day should not be very expensive.

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