Geographical image classification and retrieval

Gholamhosein Sheikholeslami; Aidong Zhang; Ling Bian

doi:10.1145/267825.267841

Geographical image classification and retrieval

Gholamhosein Sheikholeslami
, Aidong Zhang
, Ling Bian

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

10 Scopus citations

Abstract

The goal of geographical image classification is to categorize images based on land cover classes. The current geographical image classification methods, usually use only the pixel-by-pixel spectral information. We can utilize the spatial relationship of image pixels with their surrounding pixels to improve classification. In this paper, we explain the texture features that can be extracted from geographical images. Also, we will describe our content-based classification and retrieval methods for large geographical image database systems. The experimental results of our approach are presented.

Original language	English
Pages	58-61
Number of pages	4
DOIs	https://doi.org/10.1145/267825.267841
State	Published - 1997
Event	Proceedings of the 1997 5th International Workshop ob Advances in Geographic Information Systems, ACM-GIS - Las Vegas, NV, USA Duration: Nov 13 1997 → Nov 13 1997

Conference

Conference	Proceedings of the 1997 5th International Workshop ob Advances in Geographic Information Systems, ACM-GIS
City	Las Vegas, NV, USA
Period	11/13/97 → 11/13/97

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10.1145/267825.267841

Cite this

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title = "Geographical image classification and retrieval",

abstract = "The goal of geographical image classification is to categorize images based on land cover classes. The current geographical image classification methods, usually use only the pixel-by-pixel spectral information. We can utilize the spatial relationship of image pixels with their surrounding pixels to improve classification. In this paper, we explain the texture features that can be extracted from geographical images. Also, we will describe our content-based classification and retrieval methods for large geographical image database systems. The experimental results of our approach are presented.",

author = "Gholamhosein Sheikholeslami and Aidong Zhang and Ling Bian",

year = "1997",

doi = "10.1145/267825.267841",

language = "English",

pages = "58--61",

note = "Proceedings of the 1997 5th International Workshop ob Advances in Geographic Information Systems, ACM-GIS ; Conference date: 13-11-1997 Through 13-11-1997",

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TY - CONF

T1 - Geographical image classification and retrieval

AU - Sheikholeslami, Gholamhosein

AU - Zhang, Aidong

AU - Bian, Ling

PY - 1997

Y1 - 1997

N2 - The goal of geographical image classification is to categorize images based on land cover classes. The current geographical image classification methods, usually use only the pixel-by-pixel spectral information. We can utilize the spatial relationship of image pixels with their surrounding pixels to improve classification. In this paper, we explain the texture features that can be extracted from geographical images. Also, we will describe our content-based classification and retrieval methods for large geographical image database systems. The experimental results of our approach are presented.

AB - The goal of geographical image classification is to categorize images based on land cover classes. The current geographical image classification methods, usually use only the pixel-by-pixel spectral information. We can utilize the spatial relationship of image pixels with their surrounding pixels to improve classification. In this paper, we explain the texture features that can be extracted from geographical images. Also, we will describe our content-based classification and retrieval methods for large geographical image database systems. The experimental results of our approach are presented.

UR - https://www.scopus.com/pages/publications/0031340017

U2 - 10.1145/267825.267841

DO - 10.1145/267825.267841

M3 - Paper

AN - SCOPUS:0031340017

SP - 58

EP - 61

T2 - Proceedings of the 1997 5th International Workshop ob Advances in Geographic Information Systems, ACM-GIS

Y2 - 13 November 1997 through 13 November 1997

ER -

Geographical image classification and retrieval

Abstract

Conference

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