Resource discovery and intelligent image retrieval in a distributed environment

Sudha Ram; Shailaja Venkatsubramanyan; Stuart Marsh; George Ball

doi:10.1109/HICSS.1997.663406

Resource discovery and intelligent image retrieval in a distributed environment

Sudha Ram
, Shailaja Venkatsubramanyan
, Stuart Marsh
, George Ball

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Remote sensing satellites are generating large amounts of (image) data at different levels of temporal, spatial and spectral resolution, with varying levels of detail, and at various stages of processing with a variety of algorithms. This bewildering array of data sources is going to mandate a new class of information retrieval systems to help end-users access the networked information resources effectively. In this paper, we propose intelligent agent based mechanisms to locate the appropriate sources of satellite data, processing algorithms, and ancillary data that may be required at various levels of processing to answer different types of temporal and spatial queries.

Original language	English (US)
Title of host publication	Information Systems - Internet and the Digital Economy
Publisher	IEEE Comp Soc
Pages	340-349
Number of pages	10
Volume	4
ISBN (Print)	0818677430
DOIs	https://doi.org/10.1109/HICSS.1997.663406
State	Published - 1997
Event	The 1997 30th Annual Hawaii International Conference on System Sciences, HICSS-30 - Wailea, HI, USA Duration: Jan 7 1997 → Jan 10 1997

Conference

Conference	The 1997 30th Annual Hawaii International Conference on System Sciences, HICSS-30
City	Wailea, HI, USA
Period	1/7/97 → 1/10/97

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1109/HICSS.1997.663406

Cite this

Ram, S, Venkatsubramanyan, S, Marsh, S & Ball, G 1997, Resource discovery and intelligent image retrieval in a distributed environment. in Information Systems - Internet and the Digital Economy. vol. 4, IEEE Comp Soc, pp. 340-349, The 1997 30th Annual Hawaii International Conference on System Sciences, HICSS-30, Wailea, HI, USA, 1/7/97. https://doi.org/10.1109/HICSS.1997.663406

@inproceedings{6590dcff4a3140148110263aefe091fa,

title = "Resource discovery and intelligent image retrieval in a distributed environment",

abstract = "Remote sensing satellites are generating large amounts of (image) data at different levels of temporal, spatial and spectral resolution, with varying levels of detail, and at various stages of processing with a variety of algorithms. This bewildering array of data sources is going to mandate a new class of information retrieval systems to help end-users access the networked information resources effectively. In this paper, we propose intelligent agent based mechanisms to locate the appropriate sources of satellite data, processing algorithms, and ancillary data that may be required at various levels of processing to answer different types of temporal and spatial queries.",

author = "Sudha Ram and Shailaja Venkatsubramanyan and Stuart Marsh and George Ball",

year = "1997",

doi = "10.1109/HICSS.1997.663406",

language = "English (US)",

isbn = "0818677430",

volume = "4",

pages = "340--349",

booktitle = "Information Systems - Internet and the Digital Economy",

publisher = "IEEE Comp Soc",

note = "The 1997 30th Annual Hawaii International Conference on System Sciences, HICSS-30 ; Conference date: 07-01-1997 Through 10-01-1997",

}

TY - GEN

T1 - Resource discovery and intelligent image retrieval in a distributed environment

AU - Ram, Sudha

AU - Venkatsubramanyan, Shailaja

AU - Marsh, Stuart

AU - Ball, George

PY - 1997

Y1 - 1997

N2 - Remote sensing satellites are generating large amounts of (image) data at different levels of temporal, spatial and spectral resolution, with varying levels of detail, and at various stages of processing with a variety of algorithms. This bewildering array of data sources is going to mandate a new class of information retrieval systems to help end-users access the networked information resources effectively. In this paper, we propose intelligent agent based mechanisms to locate the appropriate sources of satellite data, processing algorithms, and ancillary data that may be required at various levels of processing to answer different types of temporal and spatial queries.

AB - Remote sensing satellites are generating large amounts of (image) data at different levels of temporal, spatial and spectral resolution, with varying levels of detail, and at various stages of processing with a variety of algorithms. This bewildering array of data sources is going to mandate a new class of information retrieval systems to help end-users access the networked information resources effectively. In this paper, we propose intelligent agent based mechanisms to locate the appropriate sources of satellite data, processing algorithms, and ancillary data that may be required at various levels of processing to answer different types of temporal and spatial queries.

UR - https://www.scopus.com/pages/publications/0031360438

UR - https://www.scopus.com/pages/publications/0031360438#tab=citedBy

U2 - 10.1109/HICSS.1997.663406

DO - 10.1109/HICSS.1997.663406

M3 - Conference contribution

AN - SCOPUS:0031360438

SN - 0818677430

VL - 4

SP - 340

EP - 349

BT - Information Systems - Internet and the Digital Economy

PB - IEEE Comp Soc

T2 - The 1997 30th Annual Hawaii International Conference on System Sciences, HICSS-30

Y2 - 7 January 1997 through 10 January 1997

ER -

Resource discovery and intelligent image retrieval in a distributed environment

Abstract

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this