Machine Intelligence and Open Source Intelligence

Unlocking Insights with Machine Intelligence

Machine Intelligence (MI), a term used to describe Artificial Intelligence, Machine Learning and Deep Learning and their application to real world problems, is increasingly being applied to remotely sensed data, especially satellite imagery.

GI specialises in providing a service which adopts new MI technologies to solve specific problems for a range of industries. Our extensive experience in such domains as maritime, transport, agriculture and environment, means that we have the background expertise required to carry out effective MI tasks. Some of our previous projects have included;

  • Detecting ships, sea ice, oil spills and monitoring maritime incidents
  • Spotting aircraft
  • Carbon farming
  • Predictive models for the spread of environmental diseases
  • Orchard management
  • Extraction of complex infrastructure features

MI technology is a cost effective and timely blend of techniques that can be applied to a diverse range of earth observation datasets. GI’s latest Machine Intelligence (MI) vessel detection system can produce detection reports over large, very high-resolution satellite imagery scenes in seconds, while historically this human-based task may have taken hours. Additionally, when MI systems are fused with our other data sources, the results can produce highly reliable, accurate and valuable information.

Utilising MI is not only a computationally efficient choice of technology, but it is also a highly effective way of applying algorithms to a wide and diverse range of environments. An advantage of MI systems is that they allow temporal, spatial and dimensional data fusion. For example, an MI system could fuse optical and SAR imagery across multiple capture opportunities as part of its automated analysis.

MI systems are heavily dependent on high-quality training datasets. These datasets can either be gathered manually, through a trusted source, or developed using a combination of remote sensing methods. An alternative to these methods is open source intelligence (OSINT). GI has extensive experience in developing tools to geo-reference unstructured OSINT data for this purpose and have effectively applied these techniques in a variety of scenarios.

Open Source Intelligence

At Geospatial Intelligence, we have expertise in gathering open source intelligence from a broad range of sources using customised and developed software tools to analyse, geo-reference and spatially understand what is happening, and where, for our clients. Our team can also customise processes and software to fit with customer requirements.

Working to solve our customer’s problems, we use a range of artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and data analytics techniques to process datasets ranging from a few hundred, to millions of data points.

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