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Multispectral pattern recognition

About: Multispectral pattern recognition is a research topic. Over the lifetime, 3002 publications have been published within this topic receiving 82083 citations.


Papers
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Book
01 Jun 2000
TL;DR: In situ Spectral Reflectance Measurement (new) as mentioned in this paper was used for remote sensing of the environment and vegetation in the urban landscape of the United States, where it has been shown to be useful in soil, minerals, and geomorphology.
Abstract: 1. Remote Sensing of the Environment 2. Electromagnetic Radiation Principles 3. History of Aerial Photography and Aerial Platforms 4. Aerial Photography - Vantage Point, Cameras, Filters, and Film 5. Elements of Visual Image Interpretation 6. Photogrammetry 7. Multispectral Remote Sensing Systems 8. Thermal Infrared Remote Sensing 9. Active and Passive Microwave Remote Sensing 10. LIDAR Remote Sensing (new) 11. Remote Sensing of Vegetation 12. Remote Sensing of Water 13. Remote Sensing the Urban Landscape 14. Remote Sensing of Soils, Minerals, and Geomorphology 15. In situ Spectral Reflectance Measurement (new) Index Appendix A-Sources of Remote Sensing Information

2,549 citations

Journal ArticleDOI
TL;DR: The proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.
Abstract: The first Moderate Resolution Imaging Spectroradiometer (MODIS) instrument is planned for launch by NASA in 1998. This instrument will provide a new and improved capability for terrestrial satellite remote sensing aimed at meeting the needs of global change research. The MODIS standard products will provide new and improved tools for moderate resolution land surface monitoring. These higher order data products have been designed to remove the burden of certain common types of data processing from the user community and meet the more general needs of global-to-regional monitoring, modeling, and assessment. The near-daily coverage of moderate resolution data from MODIS, coupled with the planned increase in high-resolution sampling from Landsat 7, will provide a powerful combination of observations. The full potential of MODIS will be realized once a stable and well-calibrated time-series of multispectral data has been established. In this paper the proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.

1,415 citations

Journal Article
TL;DR: In this paper, the results of three different methods used to merge the information contents of the Landsat Thermatic Mapper (TM) and Satellite Pour l'Observation de la Terre (SPOT) panchromatic data are compared.
Abstract: The merging of multisensor image data is becoming a widely used procedure because of the complementary nature of various data sets. Ideally, the method used to merge data sets with high-spatial and high-spectral resolution should not distort the spectral characteristics of the high-spectral resolution data. This paper compares the results of three different methods used to merge the information contents of the Landsat Thermatic Mapper (TM) and Satellite Pour l'Observation de la Terre (SPOT) panchromatic data. The comparison is based on spectral characteristics and is made using statistical, visual, and graphical analyses of the results

1,261 citations

MonographDOI
28 Jan 2005
TL;DR: This work focuses on the development of a Models for Multispectral Image Data Preprocessing, which combines Hyperspectral Data Characteristics with Probability Theory.

1,202 citations

Journal Article
TL;DR: In this article, the spectral properties of enhanced multispectral images with enhanced spatial resolution have been defined and a formal approach and some criteria to provide a quantitative assessment of the spectral quality of these products are defined.
Abstract: Methods have been proposed to produce multispectral images with enhanced spatial resolution using one or more images of the same scene of better spatial resolution. Assuming that the main concern of the user is the quality of the transformation of the multispectral content when increasing the spatial resolution, this paper defines the properties of such enhanced multispectral images. It then proposes both a formal approach and some criteria to provide a quantitative assessment of the spectral quality of these products. Five sets of criteria are defined. They measure the pe$ormance of a method to synthesize the radiometry in a single spectral band as well as the multispectral information when increasing the spatial resolution. The influence of the type of landscape present in the scene upon the assessment of the quality is underlined, as well as its dependence with scale. The whole approach is illustrated by the case of a SPOT image and three different standard methods to enhance the spatial resolution.

1,165 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202346
202284
202159
202079
201998
201888