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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.

[img] PDF - Only accessible within DLR bis February 2023 - Published version

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


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
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 ISI Web of Science:Yes
DOI :10.1109/LGRS.2021.3056392
Page Range:p. 8007705
Publisher:IEEE - Institute of Electrical and Electronics Engineers
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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