Angeli et al., 2012 - Google Patents
Image Simplification Using Kohonen Maps: ApplicationAngeli et al., 2012
View HTML- Document ID
- 12488115970604122596
- Author
- Angeli S
- Quesney A
- Gross L
- Publication year
- Publication venue
- Applications of self-organizing maps
External Links
Snippet
In this study, we present classification results obtained by applying Kohonen maps to Earth observation data. Earth observation refers to the use of sensors onboard artificial satellites dedicated to the monitoring of the Earth surface-atmosphere system geophysical properties …
- 230000003287 optical effect 0 abstract description 14
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating 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
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Hyperspectral unmixing via deep convolutional neural networks | |
| Valdiviezo-N et al. | Built-up index methods and their applications for urban extraction from Sentinel 2A satellite data: discussion | |
| De Jong et al. | Basics of remote sensing | |
| Wharton | A Spectral-Knowledge-Based Approach for Urban Land-Cover Discrmination | |
| Hu et al. | MDAS: A new multimodal benchmark dataset for remote sensing | |
| Dian et al. | Urban tree species mapping using airborne LiDAR and hyperspectral data | |
| Marcinkowska-Ochtyra et al. | Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images | |
| Deng et al. | Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images | |
| CN112464745A (en) | Ground feature identification and classification method and device based on semantic segmentation | |
| Krishna et al. | Hyperspectral satellite data analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC classification | |
| Wong et al. | Optical remote sensing | |
| Nie et al. | Advances in hyperspectral remote sensing for precision fertilization decision-making: a comprehensive overview | |
| Sadeghi et al. | Design and implementation of an expert system for updating thematic maps using satellite imagery (case study: changes of Lake Urmia) | |
| Khamphilung et al. | Flood Event Detection and Assessment using Sentinel-1 SAR-C Time Series and Machine Learning Classifiers Impacted on Agricultural Area, Northeastern, Thailand | |
| Angeli et al. | Image Simplification Using Kohonen Maps: Application | |
| Wang et al. | A novel BH3DNet method for identifying pine wilt disease in Masson pine fusing UAS hyperspectral imagery and LiDAR data | |
| de Lange | Remote Sensing and Digital Image Processing | |
| Jian et al. | Transfer-learning-based cloud detection for Zhuhai-1 satellite hyperspectral imagery | |
| Weng | Remote sensing of urban biophysical environments | |
| Ouerghemmi et al. | Urban vegetation mapping using hyperspectral imagery and spectral library | |
| Jong et al. | Basics of remote sensing | |
| Siok et al. | A simulation approach to the spectral quality of multispectral images enhancement | |
| Bangira | Mapping surface water in complex and heterogeneous environments using remote sensing | |
| Tan et al. | Performance of Sentinel-2A Remote sensing system for urban area mapping in Malaysia via pixel-based and OBIA methods | |
| Bochow et al. | Automatic shadow detection in hyperspectral VIS-NIR images |