HYPER SPECTRAL
HYPER SPECTRAL
Social Links:
Industry:
Medical Device
Founded:
2020-01-01
Website Url:
http://www.hyperspectralapd.com
Status:
Active
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http://www.hyperspectralapd.com
- Host name: 199.16.173.156
- IP address: 199.16.173.156
- Location: United States
- Latitude: 37.751
- Longitude: -97.822
- Timezone: America/Chicago
More informations about "Hyper Spectral"
HyperSpectral - Leading the evolution of spectral data and AI/ML
Founded in 2022, HyperSpectral fills a growing need in the market for better, more efficient detection of pathogens and contaminants. Our SpecAIâ„¢ platform empowers health care, food …See details»
HyperSpectral - Leading the evolution of spectral data …
HyperSpectral’s first-of-its-kind SpecAIâ„¢ platform has universal applicability, with proven value across a range of industries, including food safety, health care and defense.See details»
HyperSpectral - LinkedIn
HyperSpectral | 657 followers on LinkedIn. Illuminating invisible threats to protect people and the planet | HyperSpectral is the world’s first AI-powered spectral intelligence solution for ...See details»
HyperSpectral APD - VentureRadar
Similar Companies: Website: https://hyperspectralapd.com/ HyperSpectral is a HealthTech-based data analytics company driven by its patent pending hyperspectral data ...See details»
HyperSpectral on LinkedIn: We are pleased to introduce our …
We are pleased to introduce our founders! HyperSpectralAPD was founded by entrepreneur and technology venture capital executive, Harry Hopper (left) and NASA scientist David Palacios, …See details»
Hyperspectral imaging - Wikipedia
Photos illustrating individual sensor outputs for the four hyperspectral imaging techniques. From left to right: Slit spectrum; monochromatic spatial map; 'perspective projection' of hyperspectral cube; wavelength-coded spatial map. …See details»
Joint Spatial–Spectral Optimization for the High ... - IEEE Xplore
The fusion of hyperspectral and multispectral images is an important strategy for enhancing the spatial resolution of hyperspectral images. With the rapid advancement of multispectral …See details»
Ternary Modality Contrastive Learning for Hyperspectral and …
Jun 20, 2024 In the domain of remote sensing image classification, single sensors are constrained by their sensing angles and information dimensions, rendering them incapable of …See details»
Hyperspectral Target Detection Based on Prior Spectral Perception …
Aug 6, 2024 With the development of hyperspectral sensing technology, hyperspectral target detection technology plays an important role in remote target detection. However, existing …See details»
Recent Advances in Multi- and Hyperspectral Image Analysis
A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ... Jude A. Hyperspectral and multispectral image fusion …See details»
An extensive review of hyperspectral image classification and ...
Mar 9, 2024 Hyperspectral Image Processing (HSIP) is an essential technique in remote sensing. Currently, extensive research is carried out in hyperspectral image processing, …See details»
Hyperspectral adaptive matched-filter detectors: practical …
Aug 20, 2001 The unified treatment of adaptive matched filter algorithms for target detection in hyperspectral imaging data included a theoretical analysis of their performance under a …See details»
Deep Learning Meets Hyperspectral Image Analysis: A …
A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ... Li B. Multisource Hyperspectral and LiDAR Data Fusion for …See details»
HyperMLP: Superpixel Prior and Feature Aggregated ... - IEEE Xplore
Hyperspectral images (HSIs) have excellent spectral combining capabilities and light detection and ranging (LiDAR) images have fine stereoscopic elevation information. Therefore, the …See details»
A versatile deep learning architecture for classification and label ...
Mar 11, 2021 Imaging over a wide spectral profile allows for detailed chemical characterization, but processing this data is not trivial. A new neural network architecture can process …See details»
High-performance fusion of multispectral and hyperspectral data
May 4, 2006 Hyperspectral imagers tend to have lower spatial resolution than multispectral ones. This often results in a (sometimes difficult) trade-off between spectral and spatial …See details»
SpectraTrack : megapixel, hundred-fps, and thousand-channel
Nov 1, 2024 This work presents a computational hyperspectral imaging technique with high throughput, termed SpectraTrack. By deriving the spatio-temporal-spectral multiplexing …See details»
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band …
The fusion of hyperspectral and light detection and range (LiDAR) data has been an active research topic. Existing fusion methods have ignored the high-dimensionality and redundancy …See details»
DMAF-NET: Deep Multi-Scale Attention Fusion Network for ... - MDPI
May 15, 2024 In recent years, deep learning methods have achieved remarkable success in hyperspectral image classification (HSIC), and the utilization of convolutional neural networks …See details»
Non-Serial Quantization-Aware Deep Optics for Snapshot …
Jul 9, 2024 Deep optics has been endeavoring to capture hyperspectral images of dynamic scenes, where the optical encoder plays an essential role in deciding the imaging …See details»