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Textural Attributes Classification of High Resolution Satellite Imag…
- http://article.sapub.org/10.5923.j.ajgis.20180705.01.html#:~:text=For%20example%2C%20surface%20texture%20features%20are%20used%20in,used%20to%20determine%20three%20dimensional%20shapes%20of%20objects.
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Texture classification in aerial photographs and satellite data
- https://www.tandfonline.com/doi/abs/10.1080/01431169208904130
- Abstract Texture features have proved to be an important tool in image segmentation and object recognition, as well as interpretation of images in a variety of applications ranging from medical imaging to remote sensing. Many methods were suggested to achieve good discrimination between different textural regions. We propose a non-supervised …
Texture classification in aerial photographs and satellite data
- https://cris.tau.ac.il/en/publications/texture-classification-in-aerial-photographs-and-satellite-data
- Many methods were suggested to achieve good discrimination between different textural regions. We propose a non-supervised classification method. The method combines a multi-resolution based texture feature with features based on first and second order statistics. These features are calculated for each pixel in the image and its neighbours.
Texture classification in aerial photographs and satellite data
- https://www.semanticscholar.org/paper/Texture-classification-in-aerial-photographs-and-Sali-Wolfson/78364de0149637e591b674b29f9aff631c169b8c
- Abstract Texture features have proved to be an important tool in image segmentation and object recognition, as well as interpretation of images in a variety of applications ranging from medical imaging to remote sensing. Many methods were suggested to achieve good discrimination between different textural regions. We propose a non-supervised classification method. The …
Texture classification in aerial photographs and satellite data
- https://ui.adsabs.harvard.edu/abs/1992IJRS...13.3395S/abstract
- Texture classification in aerial photographs and satellite data Sali, E.; Wolfson, H. Abstract. Publication: International Journal of Remote Sensing. Pub Date: December 1992 DOI: 10.1080/01431169208904130 Bibcode: 1992IJRS...13.3395S full text sources ...
Aerial Photograph and Satellite Image Classification
- https://www.cpc.unc.edu/projects/nangrong/data/spatial_data/remote_sensing/classification/index.html
- Another major difference between air photos and satellite images in the approach to classification results from the nature of the data. Since air photos lack spectral information, their classification is based on the texture, …
Textural Attributes Classification of High Resolution Satellite …
- http://article.sapub.org/10.5923.j.ajgis.20180705.01.html
- Textural Attributes Classification of High Resolution Satellite Imagery. Texture plays an important role in many machine vision tasks such as surface inspection, scene classification, and surface orientation and shape determination. For example, surface texture features are used in the inspection of semi-conductor wafers, gray-level distribution features of …
Texture classification in aerial photographs using multiscale …
- http://ceur-ws.org/Vol-3006/10_regular_paper.pdf
- techniques aimed at achieving invariance properties. The paper proposes a texture classification method for aerial photographs based on the use of complex networks calculated for various scales and refined the final classification. 3. Complex networks Currently, the theory of complex networks is used in many fields, such as physics, sociology,
Texture Classification applied on aerial imagery in Forestry
- https://www.researchgate.net/publication/229049691_Texture_Classification_applied_on_aerial_imagery_in_Forestry
- Given the substantial amount and variety of data available currently from last generation very-high resolution (VHR) satellite missions such as Pléiades, COSMO-SkyMed, or RadarSat-2, the main ...
Soil texture classification with artificial neural ... - ScienceDirect
- https://www.sciencedirect.com/science/article/pii/S0168169906000834
- The pixel windows in the aerial photographs were extended two, three, four, and five additional pixels in each direction, resulting in four aerial data subsets with 25, 49, 81, and 121 single-band pixels related to each sample point . The visible intensity values of these pixels were normalized to from 0 to 1 by dividing each pixel value by 255, which is the maximum …
(PDF) Classification of Satellite Images - ResearchGate
- https://www.researchgate.net/publication/346345285_Classification_of_Satellite_Images
- The satellite image data set is derived from sources like Landsat and Eur osat. We . ... Classification of aerial photographs relying purely on spectral content is a …
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