Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division
The traditional remote sensing image segmentation method uses the same set of parameters for the entire image. However, due to objects’ scale-dependent nature, the optimal segmentation parameters for an overall image may not be suitable for all objects. According to the idea of spatial dependence, t...
Saved in:
| Main Authors: | Wen Zhou, Dongping Ming, Lu Xu, Hanqing Bao, Min Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2018/3918954 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast arbitrary-oriented object detection for remote sensing images
by: Jingxian Liu, et al.
Published: (2024-12-01) -
Progressive Cluster-Guided Knowledge Distillation for Remote Sensing Image Scene Classification
by: Zhaopeng Deng, et al.
Published: (2025-01-01) -
Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification
by: Yang Zhao, et al.
Published: (2024-01-01) -
Reparameterized Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Image Classification
by: Cuiping Shi, et al.
Published: (2025-01-01) -
Remote Sensing Image Scene Classification Based on Mutual Learning With Complementary Multi-Features
by: Anzhi Chen, et al.
Published: (2025-01-01)