[go: up one dir, main page]

Dabas et al., 2025 - Google Patents

Construction of hyperspectral images from RGB images via CNN

Dabas et al., 2025

Document ID
6865300360919068992
Author
Dabas V
Jaiswal G
Agarwal M
Rani R
Sharma A
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

Hyperspectral imaging (HSI) is an approach that captures information spanning a broad spectrum of spectral bands or wavelengths. Unlike traditional RGB, HSI data contains numerous contiguous or narrow spectral bands, allowing for detailed spectral analysis and …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155Measuring in two spectral ranges, e.g. UV and visible
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colour
    • G01J3/28Investigating the spectrum
    • G01J3/2823Imaging spectrometer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65Raman scattering
    • G01N2021/653Coherent methods [CARS]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

Similar Documents

Publication Publication Date Title
US20240290008A1 (en) Method and apparatus for image processing
Bayramoglu et al. Towards virtual H&E staining of hyperspectral lung histology images using conditional generative adversarial networks
EP3832359A1 (en) Method and device for imaging of lensless hyperspectral image
Bacca et al. Computational spectral imaging: a contemporary overview
Li et al. Mixing self-attention and convolution: A unified framework for multisource remote sensing data classification
Ye et al. A targeted change-detection procedure by combining change vector analysis and post-classification approach
Ma et al. A spectral grouping-based deep learning model for haze removal of hyperspectral images
Roscher et al. Detection of disease symptoms on hyperspectral 3D plant models
Kwan et al. Pansharpening of Mastcam images
US20210250526A1 (en) Device for capturing a hyperspectral image
Aryal et al. Mobile hyperspectral imaging for material surface damage detection
Douarre et al. On the value of CTIS imagery for neural-network-based classification: a simulation perspective
Chen et al. Evaluating the effectiveness of fusing remote sensing images with significantly different spatial resolutions for thematic map production
Falahatnejad et al. Deep fusion of hyperspectral and LiDAR images using attention-based CNN
Abdulsamad et al. Hyperspectral image classification based on spectral and spatial information using resnet with channel attention
Martínez et al. Efficient transfer learning for spectral image reconstruction from RGB images
Cui et al. Spatial-spectral joint preprocessing for hyperspectral image analysis using 3D-ResNet: Application to coal ash content estimation
Dabas et al. Construction of hyperspectral images from RGB images via CNN
Diaz et al. Adaptive multisensor acquisition via spatial contextual information for compressive spectral image classification
Winkens et al. Robust features for snapshot hyperspectral terrain-classification
Hadi et al. DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing
Küçük Hybrid anomaly detection method for hyperspectral images
Luo et al. Hyperspectral and Multispectral Image Fusion Based on Residual Dense Fusion Network
Motsch et al. Hyperspectral data dimensionality reduction: a comparative study between pca and autoencoder methods
Fernández-Carvelo et al. Band selection for dehazing algorithms applied to hyperspectral images in the visible range