Keywords
Computer scienceRemote sensingClassifier (UML)Artificial intelligenceContextual image classificationSpectral signaturePattern recognition (psychology)Computer visionData setScannerSet (abstract data type)Image (mathematics)Geology
Affiliated Institutions
Related Publications
Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques
A system for spatial registration of digitized multispectral and multitemporal imagery is described. Multispectral imagery can be obtained from sources such as multilens cameras...
Imaging Spectrometry for Earth Remote Sensing
Imaging spectrometry, a new technique for the remote sensing of the earth, is now technically feasible from aircraft and spacecraft. The initial results show that remote, direct...
HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is widely used for the analysis of\nremotely sensed images. Hyperspectral imagery includes varying bands of images.\nConvolutional Neura...
Recognizing indoor scenes
We propose a scheme for indoor place identification based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-res...
Characteristics of maximum-value composite images from temporal AVHRR data
Abstract Red and near-infrared satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially co...
Publication Info
- Year
- 1974
- Type
- article
- Volume
- 3
- Issue
- 1
- Pages
- 3-13
- Citations
- 112
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
112
OpenAlex
91
CrossRef
Cite This
Robert M. Haralick,
K. Shanmugam
(1974).
Combined spectral and spatial processing of ERTS imagery data.
Remote Sensing of Environment
, 3
(1)
, 3-13.
https://doi.org/10.1016/0034-4257(74)90033-9
Identifiers
- DOI
- 10.1016/0034-4257(74)90033-9