Live briefing
Everything about Multispectral pattern recognition
Multispectral remote sensing is the collection and analysis of reflected, emitted, or back-scattered energy from an object or an area of interest in multiple bands of regions of the electromagnetic spectrum. Subcategories of multispectral remote sensing include hyperspectral, in which hundreds of bands are collected and analyzed, and ultraspectral remote sensing where many hundreds of bands are used. The main purpose of multispectral imaging is the potential to classify the image using multispectral classification. This is a much faster method of image analysis than is possible by human interpretation. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multispectral pattern recognitionA 5-minute orientation
- Skim a recent paper: Multispectral pattern recognition measures change in drusen area in age-related macular degeneration with high congruency to expert gradersInfluential work since 2022
- Pick up a classic book: Hyperspectral data compressionThe most-reprinted book on the subject
- Read the landmark paper: Multispectral scleral patterns for ocular biometric recognitionCited 65 times
- Go sideways: Land cover mapsA closely related topic
- Go sideways: Multispectral imagingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Multispectral scleral patterns for ocular biometric recognition
A Probabilistic Multispectral Pattern Recognition Method for Detection of Overshooting Cloud Tops Using Passive Satellite Imager Observations
Automatic color pattern recognition of multispectral printed fabric images
Multispectral Pattern Recognition Reveals a Diversity of Clinical Signs in Intermediate Age-Related Macular Degeneration
MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN
TWO LEVELS FUSION DECISION FOR MULTISPECTRAL IMAGE PATTERN RECOGNITION
Pattern recognition analysis of marine oil spills in airborne passive infrared multispectral remote sensing images
🆕 Influential since 2022
Multispectral pattern recognition measures change in drusen area in age-related macular degeneration with high congruency to expert graders
Advanced Sparse Representation Methods Integrated with Deep Learning for Precise Feature Extraction and Pattern Recognition in Multispectral Skin Cancer Image Analysis
📚 Books worth reading
Hyperspectral data compressionGiovanni Motta, Francesco Rizzo · 2005- 📕On-line object feature extraction for multispectral scene representationHassan Ghassemian · 1988
Multispectral image processing and pattern recognitionInternational Symposium on Multispectral Image Processing and Pattern Recognition (3rd 2003 Beijing, China) · 2003- 📕MIPPR 2007International Symposium on Multispectral Image Processing and Pattern Recognition (5th 2007 Wuhan, China) · 2007
- 📕MIPPR 2009International Symposium on Multispectral Image Processing and Pattern Recognition (6th 2009 Yichang Shi, China) · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Land cover maps Land cover maps are tools that provide vital information about the Earth's land use and land cover patterns. They aid policy development, urban planning…
- Multispectral imaging Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters…
- Machine learning in earth sciences Applications of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification. Machine…
- Remote sensing Remote sensing is the acquisition of information about an object or area from a distance, without touching it, as opposed to measuring it on-site observation…
- Hyperspectral imaging Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum…
- Remote sensing software A remote sensing software is a software application that processes remote sensing data. Remote sensing applications are similar to graphics software, but…
- Ground truth Ground truth is information that is known to be real or true, provided by direct observation and measurement (i.e. empirical evidence) as opposed to information…
- Remote sensing in geology Remote sensing is used in the geological sciences as a data acquisition method complementary to field observation, because it allows mapping of geological…