Object Detection by Spectropolarimeteric Imagery Fusion

• Published in: IEEE transactions on geoscience and remote sensing Vol. 46; no. 10; pp. 3337 - 3345
• Main Authors: ZHAO, Yong-Qiang, PENG GONG, QUAN PAN
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Anomaly detection; Applied geophysics; Cubes; Data mining; Earth sciences; Earth, ocean, space; Electromagnetic radiation; Electromagnetic waves; Exact sciences and technology; Feature extraction; fuzzy integral; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Imaging; imaging spectropolarimetry; information fusion; Internal geophysics; Layout; Object detection; Polarization characteristics; Projection; Remote sensing; Representations; spectropolarimetric projection; Spectroscopy; Spectrum analysis; Studies; image processing; algorithms; polarimetry; information fusion; fuzzy integral; remote sensing; melting; surface features; technology; extraction; anomalies; Anomaly detection; quality; electromagnetic waves; spectral signature; radiation; spectroscopy; imagery; spectropolarimetric projection; polarization; projection; performances; theory; imaging spectropolarimetry

In the past few years, imaging spectroscopy has been widely used. However, it only acquires intensity information in a narrow electromagnetic band, ignoring the polarimetric information of the electromagnetic wave and resulting in inaccurate object detection. According to electromagnetic theory, the...