Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images
Data in the form of images are now generated at an unprecedented rate. A case in point is remote sensing images (RSI), now available in large-scale RSI archives, which have attracted a considerable amount of research on image classification within the remote sensing community. The basic task of sing...
Main Authors: | Marjan Stoimchev, Dragi Kocev, Sašo Džeroski |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/2/538 |
Similar Items
-
Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification
by: Boyi Ma, et al.
Published: (2024-01-01) -
CLUSplus: A decision tree-based framework for predicting structured outputs
by: Matej Petković, et al.
Published: (2023-12-01) -
Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint
by: Hao Xie, et al.
Published: (2021-06-01) -
Remote Sensing Image Scene Classification with Noisy Label Distillation
by: Rui Zhang, et al.
Published: (2020-07-01) -
Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images
by: Su-Jin Shin, et al.
Published: (2020-08-01)