Large Scale AI Building Footprint Extraction
Project: High-Accuracy AI Building Footprint Extraction at Scale (Middle East)
Client: Confidential (Middle East Region) Project: 3.5 Million High-Accuracy Building Footprints
The Geospatial Challenge: Delivering 3.5 Million Footprints Under Tight Deadlines
Our client required rapid geospatial data processing to extract 3.5 million high-accuracy building footprints in the Middle East within an extremely short timeframe. Conventional geospatial analysis techniques proved too slow for the project's demanding schedule and scale, risking delays and compromising data precision. SISL,India was contracted to provide an efficient and accurate solution.
SISL's Solution: Advanced Geospatial AI for Rapid Extraction
We engineered a cutting-edge Geospatial AI solution, utilizing a proprietary single-stage object detection framework. This innovative approach bypassed the limitations of traditional methods, focusing on:
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Speed & Efficiency: Our AI model, built on a CSPDarknet53 backbone and integrated detection head, enabled rapid building footprint detection and segmentation in one pass, crucial for large-scale mapping.
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High Accuracy & Detail: Optimized for precision, the system delivered clean, validated footprints suitable for fine-scale mapping (1:300) and detailed urban analytics.
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Proven Scalability: Designed specifically for large-scale geospatial data processing, handling the 3.5 million footprint requirement efficiently without sacrificing quality.
Key Technology Components
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AI Architecture: Custom State-of-the-Art (SOTA) single-stage detection framework leveraging a CSPDarknet53 backbone for efficient feature extraction from satellite/aerial imagery.
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Efficient AI Model: Optimized model with ~86 million parameters (approx. 22% leaner than previous gen standards), balancing performance and deep learning accuracy.
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Robust ML Training: Trained on a diverse dataset of ~400,000 annotated samples using advanced machine learning techniques, data augmentation, and custom loss functions for superior object detection performance.
Results: Unmatched Speed and Accuracy in Geospatial Data
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Exceptional Accuracy: Achieved top-tier geospatial data accuracy:
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Segmentation Precision: 94%
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Segmentation Recall: 90%
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mAP@50 mask: 0.847
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Rapid Processing: Met aggressive deadlines, processing satellite/aerial imagery data 2-3 times faster than traditional geospatial workflows.
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Superior Performance: Outperformed many commercial and open-source building extraction tools on this large-scale geospatial project.
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Client Value: Delivered reliable geospatial intelligence vital for urban planning, cadastral mapping, infrastructure development, and environmental monitoring.
Why SISL India for Geospatial AI?
This project highlights SISL India's leadership in geospatial AI and large-scale data processing. Our innovative building footprint extraction solution delivered exceptional speed and accuracy, proving our capability to handle complex, time-sensitive geospatial analysis challenges worldwide. We provide scalable AI solutions for complex geospatial data requirements.
Partner with SISL for Your Geospatial Data Needs
Need accurate building footprints, rapid satellite imagery analysis, object detection from aerial data, or custom geospatial AI solutions?
Contact SISL India today to leverage our expertise in machine learning for geospatial applications.