DIRECT method for detecting unseen subsurface objects

N. Kerr Del Grande

doi:10.1117/12.2665272

14 June 2023 DIRECT method for detecting unseen subsurface objects

N. Kerr Del Grande

Proceedings Volume 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII; 1254712 (2023) https://doi.org/10.1117/12.2665272
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

The patented DIRECT® process offers a unique combination of resolution, detectability and interpretability. DIRECT® (Dual Infra-Red Effusivity Computed Tomography) provides a way to visualize contrasting subsurface object temperature spreads to within 1/10th to 1/5th degree. A singular degree is more commonly seen by industry. The novel process removes clutter from unseen weather changes. Field tests of shallow and deep object gaps are discussed in detail. Shallow gaps were imaged for anti-tank landmines, roadside stashes and paved bridge decks. Deep object empty spaces were imaged at an ancient drainage channel, a geothermal resource aquifer and a slanted pipeline. DIRECT® detected unseen gaps and empty spaces not detected by aerial photography. Field tests uncovered 15 cm deep sand-covered mines at Yuma, AZ, Proving Grounds. They detected a 15 m deep soil-covered, 1-m diameter, pipeline at Dugway, UT, Proving Grounds. The novel DIRECT® process Proof of Concept, Phase 1 calibrations were successful. They remotely sensed a 10 m deep tunnel at the Israel border. Geo-Temp’s field team located a 1 m deep unknown smuggler’s hidden roadside stash. This was at the Brownsville, TX south-eastern US-Mexican border. A 2-15 m deep descending rock-covered drain was imaged at 3 km above the “Dome of the Rock” platform at Jerusalem, Israel. The deepest object detected was a 6-60 m deep dry soil covered geothermal aquifer at Long Valley, CA.

Citation Download Citation

N. Kerr Del Grande "DIRECT method for detecting unseen subsurface objects", Proc. SPIE 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, 1254712 (14 June 2023); https://doi.org/10.1117/12.2665272

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