An Underwater Target Detection Framework for Hyperspectral Imagery
نویسندگان
چکیده
منابع مشابه
A New Dictionary Construction Method in Sparse Representation Techniques for Target Detection in Hyperspectral Imagery
Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...
متن کاملAdaptive Subspace Target Detection in Hyperspectral Imagery
* Corresponding author. Abstract –Adaptive subspace detectors are widely used for low probability and anomaly detection. The complex remote sensing conditions in which hyperspectral imagery is obtained make the detector performance evaluation a non-trivial task. Many of the detector design parameters can only be studied empirically for their effects on detection performance. In this paper, hype...
متن کاملIntelligent Target Detection in Hyperspectral Imagery
Many applications that use hyperspectral imagery focus on detection and recognition of targets that occupy a portion of a hyperspectral pixel. We address the problem of sub-pixel target detection by evaluating individual pixels belonging to a hyperspectral image scene. We begin by clustering each pixel into one of n classes based on the minimum distance to a set of n cluster prototypes. These c...
متن کاملAdjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery
Supervised target detection and anomaly detection are widely used in various applications, depending upon the availability of target spectral signature. Basically, they are based on a similar linear process, which makes them highly correlated. In this paper, we propose a novel adjusted spectral matched filter (ASMF) for hyperspectral target detection, which aims to effectively improve target de...
متن کاملEvaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery
1The Unit of Electro-Optics Engineering and the Earth and Planetary Image Facility, Ben-Gurion University of the Negev, P.O. Box 653, 84105 Beer-Sheva, Israel 2The Department of Geography and Environmental Development and the Earth and Planetary Image Facility, Ben-Gurion University of the Negev, P.O. Box 653, 84105 Beer-Sheva, Israel 3Department of Electrical and Computer Engineering and the E...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2020
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2020.2969013