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A Zero-Shot Sketch-Based Intermodal Object Retrieval Scheme for Remote Sensing Images

Chaudhuri, Ushashi and Banerjee, Biplab and Bhattacharya, Avik and Datcu, Mihai (2022) A Zero-Shot Sketch-Based Intermodal Object Retrieval Scheme for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, 19, p. 8007705. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2021.3056392. ISSN 1545-598X.

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Official URL: https://ieeexplore.ieee.org/document/9353713

Abstract

Domain-agnostic data retrieval has lately become essential amidst the availability of large-scale data from different types of sensors. However, the unavailability of a sufficient amount of samples of certain classes during training curtails the utility of existing retrieval models in remote sensing (RS) applications. Here, we propose a novel framework for zero-shot intermodal data retrieval of RS data. Thereupon, we design an encoder-decoder structure that ensures enhanced overlapping among the two data domains utilizing cross-triplet and cross-projection loss functions. Furthermore, we propose a sketch-based representation of the RS database Earth on Canvas with diverse classes. We perform a thorough benchmarking of this data set and demonstrate that the proposed framework outperforms state-of-the-art methods for zero-shot sketch-based retrieval framework for RS data.

Item URL in elib:https://elib.dlr.de/144953/
Document Type:Article
Title:A Zero-Shot Sketch-Based Intermodal Object Retrieval Scheme for Remote Sensing Images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Chaudhuri, UshashiIndian Institute of Technology BombayUNSPECIFIED
Banerjee, BiplabIndian Institute of Technology BombayUNSPECIFIED
Bhattacharya, AvikIndian Institute of Technology BombayUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:27 January 2022
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:19
DOI :10.1109/LGRS.2021.3056392
Page Range:p. 8007705
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Cross-modal retrieval, database, earth on canvas (EoC), information retrieval, remote sensing (RS), sketches, zero-shot
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Otgonbaatar, Soronzonbold
Deposited On:02 Nov 2021 13:10
Last Modified:14 Jan 2022 14:24

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