A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2019
- Urheber
-
Sumbul, Gencer
Demir, Begüm
- DOI
-
10.14279/depositonce-9347
- Handle
-
11303/10387
- URN
-
urn:nbn:de:101:1-2019112700585290158922
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sumbul, Gencer
- Demir, Begüm
- Technische Universität Berlin
Entstanden
- 2019
Ähnliche Objekte (12)
A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification
A novel active learning technique for multi-label remote sensing image scene classification
TreeSatAI Benchmark Archive: a multi-sensor, multi-label dataset for tree species classification in remote sensing
TreeSatAI Benchmark Archive : a multi-sensor, multi-label dataset for tree species classification in remote sensing
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images
Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification
Multi-label Rule Learning
Remote sensing and machine learning for multi-scale ecosystem monitoring
Multi-source data fusion and image compression in urban remote sensing
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Multi-dimensional characterization of soil surface roughness for microwave remote sensing applications
Characterizing slope instability kinematics by integrating multi-sensor satellite remote sensing observations
A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification
A novel active learning technique for multi-label remote sensing image scene classification
TreeSatAI Benchmark Archive: a multi-sensor, multi-label dataset for tree species classification in remote sensing
TreeSatAI Benchmark Archive : a multi-sensor, multi-label dataset for tree species classification in remote sensing
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images
Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification
Multi-label Rule Learning
Remote sensing and machine learning for multi-scale ecosystem monitoring
Multi-source data fusion and image compression in urban remote sensing
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Multi-dimensional characterization of soil surface roughness for microwave remote sensing applications
Characterizing slope instability kinematics by integrating multi-sensor satellite remote sensing observations
A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification
A novel active learning technique for multi-label remote sensing image scene classification
TreeSatAI Benchmark Archive: a multi-sensor, multi-label dataset for tree species classification in remote sensing
TreeSatAI Benchmark Archive : a multi-sensor, multi-label dataset for tree species classification in remote sensing
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images
Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification
Multi-label Rule Learning
Remote sensing and machine learning for multi-scale ecosystem monitoring
Multi-source data fusion and image compression in urban remote sensing
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Multi-dimensional characterization of soil surface roughness for microwave remote sensing applications