An ensemble classification approach for improved Land use/cover change detection

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: An ensemble classification approach for improved Land use/cover change detection ; volume:XL-8 ; year:2014 ; pages:695-701
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XL-8 (2014), 695-701

Creator: Chellasamy, M.
Ferré, T. P. A.
Humlekrog Greve, M.
Larsen, R.
Chinnasamy, U.

DOI: 10.5194/isprsarchives-XL-8-695-2014

URN: urn:nbn:de:101:1-2017121125086

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:25 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Chellasamy, M.
Ferré, T. P. A.
Humlekrog Greve, M.
Larsen, R.
Chinnasamy, U.

Other Objects (12)

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

An ensemble classification approach for improved Land use/cover change detection

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Real-time jellyfish classification and detection algorithm based on improved YOLOv4-tiny and improved underwater image enhancement algorithm

Integrating Data and Model Optimization for Improved Multi-Class Land Cover Classification Using Multispectral Remote Sensing Data

Research on land cover classification of multi-source remote sensing data based on improved U-net network

Urban land cover classification using hyperspectral data

FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA

Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

Related objects

Reset password