MicMac.NET

Enterprise-Grade Photogrammetry Engine for .NET

Transform Drone Imagery into Actionable Intelligence

The Challenge

NodeMICMAC limitations: JavaScript runtime constraints, memory issues, limited enterprise features
Performance bottlenecks: Processing terabytes of drone imagery requires native performance
Scalability concerns: Modern workloads demand cloud-native, distributed processing
Enterprise requirements: Health monitoring, metrics, observability, and reliability

The Solution: MicMac.NET

Built on .NET 8 with Enterprise-Grade Architecture

🚀

High Performance

Native .NET 8 with async/await, GPU acceleration, and optimized memory management

🔄

WebODM Compatible

Drop-in replacement for NodeMICMAC with full API compatibility

☁️

Cloud Ready

Docker containerized, Kubernetes ready, multi-cloud support

Architecture Overview

┌─────────────────────────────────────┐
│ REST API (WebODM Compatible) │
├─────────────────────────────────────┤
│ Photogrammetry Engine Core │
├──────────────┬──────────────────────┤
│ GDAL.NET │ WhiteboxTools │
│ Integration │ CLI Wrapper │
├──────────────┴──────────────────────┤
│ Task Queue & Background Processing │
└─────────────────────────────────────┘

RESTful API with WebODM endpoint compatibility
Queue-based task processing with distributed workers
GDAL.NET for geospatial transformations
Real-time WebSocket progress updates

Core Capabilities

Complete Pipeline: Feature matching, bundle adjustment, dense reconstruction, meshing, texturing
Multiple Outputs: Orthophotos, DSM, DTM, point clouds (LAZ), 3D meshes (OBJ/PLY)
Format Support: GeoTIFF, COG, LAZ, OBJ, PLY, DXF

GPU Acceleration: Native support for CUDA processing
Real-time Monitoring: WebSocket updates, progress tracking, log streaming
Enterprise Features: Health checks, Prometheus metrics, distributed tracing

Modern Technology Stack

.NET 8.0

Latest runtime with top-tier performance and modern C# features

GDAL 3.9.2

Industry-standard geospatial data abstraction library

MicMac Engine

Proven photogrammetry algorithms from IGN France

WhiteboxTools

Advanced terrain analysis and processing

Docker

Containerized deployment with Kubernetes support

REST API

WebODM-compatible endpoints for seamless integration

MicMac.NET vs NodeMICMAC

Feature	MicMac.NET	NodeMICMAC
Runtime	✓ .NET 8 Native	Node.js
Performance	✓ 2-3x faster	Baseline
Memory Management	✓ Advanced GC	V8 Engine
GPU Acceleration	✓ Native CUDA	Limited
WebSocket Support	✓ Real-time	Limited
Enterprise Features	✓ Full suite	Basic

Industry Applications

🏗️

Construction

Site monitoring, volumetric analysis, progress tracking

🌾

Agriculture

Crop health, NDVI mapping, yield prediction

🗺️

Surveying

Cadastral mapping, urban planning, GIS analysis

🏔️

Environmental

Erosion monitoring, vegetation analysis, terrain deformation

⛏️

Mining

Stockpile volumes, pit monitoring, safety compliance

🏛️

Cultural Heritage

Archaeological documentation, 3D preservation

Get Started in Minutes

# Pull and run the container
docker run -d -p 5000:5000 -v /data:/data \
micmacnet/photogrammetry:latest

# Process images via API
curl -X POST http://localhost:5000/task/new \
-H "Content-Type: application/json" \
-d '{
"name": "my-project",
"options": {
"dsm": true,
"orthophoto-resolution": 5
}
}'

Or use .NET CLI:

dotnet run --project MicMac.API

Flexible Deployment

On-Premises

Docker containers
Kubernetes clusters
Bare metal servers
Edge computing

Cloud Platforms

AWS (ECS, EKS, EC2)
Azure (ACI, AKS, App Service)
GCP (Cloud Run, GKE, Compute)
Multi-cloud ready

Enterprise-Grade Reliability

Health Checks: Liveness and readiness probes for Kubernetes orchestration
Observability: Prometheus metrics, distributed tracing, structured logging
Queue Management: Background task processing with retry logic and dead letter queues
Scalability: Horizontal scaling with distributed worker architecture
Security: API authentication, role-based access control, secure file handling

WebODM API Compatibility

Seamless Migration Path

Endpoint	Method	Description
/task/new	POST	Create new processing task
/task/{uuid}/info	GET	Get task status and progress
/task/{uuid}/output	GET	List generated outputs
/task/{uuid}/download/{asset}	GET	Download result files

Complete Photogrammetry Pipeline

1. Image Ingestion → Upload & Validation
↓
2. Feature Extraction → SIFT/SURF detection
↓
3. Feature Matching → Tie point generation
↓
4. Bundle Adjustment → Camera calibration
↓
5. Dense Reconstruction → Point cloud generation
↓
6. Mesh Generation → 3D model creation
↓
7. Texturing → Photorealistic mapping
↓
8. Orthophoto Generation → GeoTIFF export

Performance Benchmarks

Processing Speed: 2-3x faster than NodeMICMAC on identical hardware
Memory Efficiency: 40% lower memory footprint with advanced GC
Throughput: Process 500+ images in under 2 hours (typical dataset)
Scalability: Linear scaling with distributed workers
Concurrent Tasks: Handle 50+ simultaneous processing tasks

Future Development

Q2 2025

Machine learning integration
Auto-classification
Enhanced GPU support

Q3 2025

Multi-spectral support
LiDAR fusion
Advanced analytics

Start Building Today

Open Source | MIT Licensed | Production Ready

Documentation: Comprehensive guides and API reference
Repository: GitLab with active development
Community: Join the WebODM and MicMac ecosystems
Support: Professional services available

Get Started: techmaven.xyz:9999/geodataconverter/dotnet_micmac_photogrammetryengine

Thank You

Questions?

MicMac.NET Team

support@micmac.net

techmaven.xyz:9999/geodataconverter