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Data · dataset · 2025

Deep Learning-Based Topographic Correction for Multi-Temporal Remote Sensing Imagery: A Generative Adversarial Network Approach

Listed in ScienceDB

This dataset consists of the training set and code for Deep Learning-Based Topographic Correction for Multi-Temporal Remote Sensing Imagery: A Generative Adversarial Network Approach.

Description

It was carefully selected during the development of the Enhanced GAN Topographic Correction (EGTC) network and contains everything needed to reproduce or extend the research.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Geomatic engineering 70% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2617511 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4013enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title