Log in to save to my catalogue

ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote...

ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e977c3a57e6a4ed4870081527c409ad3

ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images

About this item

Full title

ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (20), p.5258

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The occlusion of cloud layers affects the accurate acquisition of ground object information and causes a large amount of useless remote-sensing data transmission and processing, wasting storage, as well as computing resources. Therefore, in this paper, we designed a lightweight composite neural network model to calculate the cloud amount in high-re...

Alternative Titles

Full title

ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e977c3a57e6a4ed4870081527c409ad3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e977c3a57e6a4ed4870081527c409ad3

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14205258

How to access this item