Matches in SemOpenAlex for { <https://semopenalex.org/work/W2091201636> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2091201636 abstract "Statistical properties of high-resolution overhead images representing different land use categories are analyzed using various local and global statistical image properties based on the shape of the power spectrum, image gradient distributions, edge co-occurrence, and inter-scale wavelet coefficient distributions. The analysis was performed on a database of high-resolution (1 meter) overhead images representing a multitude of different downtown, suburban, commercial, agricultural and wooded exemplars. Various statistical properties relating to these image categories and their relationship are discussed. The categorical variations in power spectrum contour shapes, the unique gradient distribution characteristics of wooded categories, the similarity in edge co-occurrence statistics for overhead and natural images, and the unique edge co-occurrence statistics of downtown categories are presented in this work. Though previous work on natural image statistics has showed some of the unique characteristics for different categories, the relationships for overhead images are not well understood. The statistical properties of natural images were used in previous studies to develop prior image models, to predict and index objects in a scene and to improve computer vision models. The results from our research findings can be used to augment and adapt computer vision algorithms that rely on prior image statistics to process overhead images, calibrate the performance of overhead image analysis algorithms, and derive features for better discrimination of overhead image categories." @default.
- W2091201636 created "2016-06-24" @default.
- W2091201636 creator A5004836627 @default.
- W2091201636 creator A5063499743 @default.
- W2091201636 creator A5065410886 @default.
- W2091201636 creator A5068259837 @default.
- W2091201636 creator A5073977220 @default.
- W2091201636 creator A5082021750 @default.
- W2091201636 creator A5082965462 @default.
- W2091201636 date "2008-01-01" @default.
- W2091201636 modified "2023-09-25" @default.
- W2091201636 title "Overhead image statistics" @default.
- W2091201636 cites W1490632837 @default.
- W2091201636 cites W2044465660 @default.
- W2091201636 cites W2066449383 @default.
- W2091201636 cites W2079023888 @default.
- W2091201636 cites W2085927826 @default.
- W2091201636 cites W2095873497 @default.
- W2091201636 cites W2117731089 @default.
- W2091201636 cites W2120947612 @default.
- W2091201636 cites W2124731682 @default.
- W2091201636 cites W2127006916 @default.
- W2091201636 cites W2135587681 @default.
- W2091201636 cites W2139783870 @default.
- W2091201636 cites W2145889472 @default.
- W2091201636 cites W2167034998 @default.
- W2091201636 cites W3122510310 @default.
- W2091201636 cites W4214815024 @default.
- W2091201636 cites W4237434670 @default.
- W2091201636 doi "https://doi.org/10.1109/aipr.2008.4906471" @default.
- W2091201636 hasPublicationYear "2008" @default.
- W2091201636 type Work @default.
- W2091201636 sameAs 2091201636 @default.
- W2091201636 citedByCount "14" @default.
- W2091201636 countsByYear W20912016362012 @default.
- W2091201636 countsByYear W20912016362014 @default.
- W2091201636 countsByYear W20912016362015 @default.
- W2091201636 countsByYear W20912016362018 @default.
- W2091201636 countsByYear W20912016362023 @default.
- W2091201636 crossrefType "proceedings-article" @default.
- W2091201636 hasAuthorship W2091201636A5004836627 @default.
- W2091201636 hasAuthorship W2091201636A5063499743 @default.
- W2091201636 hasAuthorship W2091201636A5065410886 @default.
- W2091201636 hasAuthorship W2091201636A5068259837 @default.
- W2091201636 hasAuthorship W2091201636A5073977220 @default.
- W2091201636 hasAuthorship W2091201636A5082021750 @default.
- W2091201636 hasAuthorship W2091201636A5082965462 @default.
- W2091201636 hasConcept C111919701 @default.
- W2091201636 hasConcept C115961682 @default.
- W2091201636 hasConcept C119857082 @default.
- W2091201636 hasConcept C153180895 @default.
- W2091201636 hasConcept C154945302 @default.
- W2091201636 hasConcept C2779960059 @default.
- W2091201636 hasConcept C31972630 @default.
- W2091201636 hasConcept C41008148 @default.
- W2091201636 hasConcept C47432892 @default.
- W2091201636 hasConcept C5274069 @default.
- W2091201636 hasConceptScore W2091201636C111919701 @default.
- W2091201636 hasConceptScore W2091201636C115961682 @default.
- W2091201636 hasConceptScore W2091201636C119857082 @default.
- W2091201636 hasConceptScore W2091201636C153180895 @default.
- W2091201636 hasConceptScore W2091201636C154945302 @default.
- W2091201636 hasConceptScore W2091201636C2779960059 @default.
- W2091201636 hasConceptScore W2091201636C31972630 @default.
- W2091201636 hasConceptScore W2091201636C41008148 @default.
- W2091201636 hasConceptScore W2091201636C47432892 @default.
- W2091201636 hasConceptScore W2091201636C5274069 @default.
- W2091201636 hasLocation W20912016361 @default.
- W2091201636 hasOpenAccess W2091201636 @default.
- W2091201636 hasPrimaryLocation W20912016361 @default.
- W2091201636 hasRelatedWork W1970633265 @default.
- W2091201636 hasRelatedWork W1982584880 @default.
- W2091201636 hasRelatedWork W2001557060 @default.
- W2091201636 hasRelatedWork W2005185696 @default.
- W2091201636 hasRelatedWork W2092957489 @default.
- W2091201636 hasRelatedWork W2130228941 @default.
- W2091201636 hasRelatedWork W2161229648 @default.
- W2091201636 hasRelatedWork W2235753890 @default.
- W2091201636 hasRelatedWork W2541950815 @default.
- W2091201636 hasRelatedWork W2993674027 @default.
- W2091201636 isParatext "false" @default.
- W2091201636 isRetracted "false" @default.
- W2091201636 magId "2091201636" @default.
- W2091201636 workType "article" @default.