Multi-Label Remote Sensing Image Classification with Latent Semantic Dependencies
Deforestation in the Amazon rainforest results in reduced biodiversity, habitat loss, climate change, and other destructive impacts. Hence obtaining location information on human activities is essential for scientists and governments working to protect the Amazon rainforest. We propose a novel remot...
Main Authors: | Junchao Ji, Weipeng Jing, Guangsheng Chen, Jingbo Lin, Houbing Song |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/7/1110 |
Similar Items
-
Multilabel Remote Sensing Image Annotation With Multiscale Attention and Label Correlation
by: Rui Huang, et al.
Published: (2021-01-01) -
Spectral-Spatial Attention Networks for Hyperspectral Image Classification
by: Xiaoguang Mei, et al.
Published: (2019-04-01) -
A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing
by: Qimin Cheng, et al.
Published: (2021-01-01) -
Multi-Gram CNN-Based Self-Attention Model for Relation Classification
by: Chunyun Zhang, et al.
Published: (2019-01-01) -
Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images
by: Su-Jin Shin, et al.
Published: (2020-08-01)