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This paper addresses a specific example of nonperiodic translation symmetry and presents an algorithm to automatically detect multiple poles, or their shadows, in aerial imagery by looking for consistent and overlapping regions of self-similarity across a non-urban scene. The algorithm does not rely on having a pole template or knowing its exact size. For each image patch, similar regions (or blobs)...
In this paper we present a comparison of various classifiers and features for the detection of relatively small, unknown, man-made anomalies in large, high resolution, grayscale aerial images with uniform background such as a forest. We investigate the Support Vector Machine (with and without hard negative mining), Replicator Neural Network and the Reed-Xiaoli Detector (RXD) as 1-class, unsupervised...
This work addresses the problem of extracting semantics associated with multiple, cooperatively managed motion imagery sensors to support indexing and search of large imagery collections. The extracted semantics relate to the motion and identity of vehicles within a scene, viewed from aircraft and the ground. Semantic extraction required three steps: Video Moving Target Indication (VMTI), imagery...
The persistent airborne surveillance of large geographical areas is now a viable proposition. As well as providing cues to moving objects, it presents new opportunities for understanding the behaviours and motivations of people, both individually and collectively. Exploitation of these huge collections of imagery (a facet of the Big Data challenge) requires more effective tools to derive and abstract...
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