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Hyperspectral imaging, also known as image spectrometry, is a landmark technique in geoscience and remote sensing (RS). In the past decade, enormous efforts have been made to process and analyze these hyperspectral (HS) products mainly by…

Computer Vision and Pattern Recognition · Computer Science 2021-03-03 Danfeng Hong , Wei He , Naoto Yokoya , Jing Yao , Lianru Gao , Liangpei Zhang , Jocelyn Chanussot , Xiao Xiang Zhu

Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and autonomous navigation in a wide range of robotics applications.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Fan Wang , Jiangxin Yang , Yanlong Cao , Yanpeng Cao , Michael Ying Yang

Hyperspectral pansharpening aims to synthesize a low-resolution hyperspectral image (LR-HSI) with a registered panchromatic image (PAN) to generate an enhanced HSI with high spectral and spatial resolution. Recently proposed HS…

Computer Vision and Pattern Recognition · Computer Science 2021-07-07 Wele Gedara Chaminda Bandara , Jeya Maria Jose Valanarasu , Vishal M. Patel

Hyperspectral imaging (HSI) captures spatial information along with dense spectral measurements across numerous narrow wavelength bands. This rich spectral content has the potential to facilitate robust robotic perception, particularly in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Juana Valeria Hurtado , Rohit Mohan , Abhinav Valada

A micro-ring-resonator (MRR) optical biosensor based on the evanescent field sensing mechanism has been extensively studied due to its high sensitivity and compact device size. However, a suitable on-chip integrated spectrometer device has…

Optics · Physics 2022-07-19 Kyoung Min Yoo , May Hlaing , Sourabh Jain , James Fan , Yue An , Ray T. Chen

Neuromorphic Computing implemented in photonic hardware is one of the most promising routes towards achieving machine learning processing at the picosecond scale, with minimum power consumption. In this work, we present a new concept for…

Emerging Technologies · Computer Science 2022-11-01 K. Sozos , A. Bogris , P. Bienstman , G. Sarantoglou , S. Deligiannidis , C. Mesaritakis

Single Pixel (SP) imaging is now a reality in many applications, e.g., biomedical ultrathin endoscope and fluorescent spectroscopy. In this context, many schemes exist to improve the light throughput of these device, e.g., using structured…

Computer Vision and Pattern Recognition · Computer Science 2019-02-19 Amirafshar Moshtaghpour , José M. Bioucas-Dias , Laurent Jacques

Multispectral imaging is an important task of image processing and computer vision, which is especially relevant to applications such as dehazing or object detection. With the development of the RGBT (RGB & Thermal) sensor, the problem of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Nati Ofir , Jean-Christophe Nebel

Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. In conventional hyperspectral reconstruction, data from each…

Hyperspectral Imaging (HSI) captures rich spectral information across contiguous wavelength bands, supporting applications in precision agriculture, environmental monitoring, and autonomous driving. However, its high dimensionality poses…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Yaniv Zimmer , Ofir Lindenbaum , Oren Glickman

Hyperspectral imaging (HSI) is an optical technique that processes the electromagnetic spectrum at a multitude of monochromatic, adjacent frequency bands. The wide-bandwidth spectral signature of a target object's reflectance allows…

Quantitative Methods · Quantitative Biology 2023-10-17 Ivan Ezhov , Luca Giannoni , Suprosanna Shit , Frederic Lange , Florian Kofler , Bjoern Menze , Ilias Tachtsidis , Daniel Rueckert

Electronic and optoelectronic applications of two-dimensional (2D) semiconductors demand precise control over material quality, including thickness, composition, doping, and defect density. Conventional benchmarking methods (e.g., charge…

Materials Science · Physics 2025-06-24 Zhenghan Peng , Adeyemi Uthman , Zhepeng Zhang , Anh Tuan Hoang , Xiang Zhu , Eric Pop , Andrew J. Mannix

Optical frequency combs have revolutionised time and frequency metrology [1, 2]. The advent of microresonator-based frequency combs ('microcombs' [3-5]) is set to lead to the miniaturisation of devices that are ideally suited to a wide…

A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters. Such an agile imaging technique comes at the cost of a…

Computer Vision and Pattern Recognition · Computer Science 2015-02-09 K. Degraux , V. Cambareri , L. Jacques , B. Geelen , C. Blanch , G. Lafruit

Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice…

Optics · Physics 2024-07-22 Gianlorenzo Massaro , Francesco V. Pepe , Milena D'Angelo

A multispectral camera records image data in various wavelengths across the electromagnetic spectrum to acquire additional information that a conventional camera fails to capture. With the advent of high-resolution image sensors and colour…

Image and Video Processing · Electrical Eng. & Systems 2023-03-06 Noor E Karishma Shaik , Bryce Widdicombe , Dechuan Sun , Sam E John , Dongryeol Ryu , Ampalavanapillai Nirmalathas , Ranjith R Unnithan

We describe a new pushbroom hyperspectral imaging device that has no macro moving part. The main components of the proposed hyperspectral imager are a digital micromirror device (DMD), a CMOS image sensor with no filter as the spectral…

Computer Vision and Pattern Recognition · Computer Science 2019-05-22 Reza Arablouei , Ethan Goan , Stephen Gensemer , Branislav Kusy

Visible and near-infrared spectrum photonic integrated circuits are quickly becoming a key technology to address the scaling challenges in quantum information and biosensing. Thus far, integrated photonic platforms in this spectral range…

On-chip integration of two-dimensional (2D) materials offers great potential for the realization of novel optoelectronic devices in different photonic platforms. In particular, indium selenide (InSe) is a very promising 2D material due to…

High-speed multiplex imaging of fluorescent probes is limited by a combination of spectral resolution, sensitivity, high cost and low light throughput of detectors, and filters. In this work, we present a hyperspectral detection system…