Common Fiscal using man-made object during feeding.

Identification of Underwater Man- Made Object Using a Colour Criterion

Identification of Underwater Man- Made Object Using Colour

With the development of autonomous underwater vehicles, the identification of underwater objects continues as a major issue. Because of specific properties of light in water particularly the absorption phenomenon, underwater imaging suffers from low contrast, from diminished colours and often from prominent green or blue colour. Today, object identification algorithms are usually based on shape...

Range and Image Data Integration for Man-made Object Reconstruction

The extraction of information from image and range data is one of the main research topics. In literature, several papers dealing with this topic has been already presented. In particular, several authors have suggested an integrated use of both range and image information in order to increase the reliability and the completeness of the results exploiting their complementary nature. In this pap...

Man-made Object Detection Based on Texture Visual Perception

Based on human visual attention mechanism and texture visual perception, this paper proposes a method for man-made object detection by extracting texture and geometry structure features. Followed by clustering the texture feature, geometry structure feature is obtained to realize final detection. Then a man-made object detection scheme is designed, by which typical man-made objects in complex n...

Deep Learning-Based Man-Made Object Detection from Hyperspectral Data

Hyperspectral sensing, due to its intrinsic ability to capture the spectral responses of depicted materials, provides unique capabilities towards object detection and identification. In this paper, we tackle the problem of man-made object detection from hyperspectral data through a deep learning classification framework. By the effective exploitation of a Convolutional Neural Network we encode ...