IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more important for information extraction. The VHR...
Main Authors: | Z. Li, L. Shen, L. Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/11/2016/isprs-archives-XLI-B7-11-2016.pdf |
Similar Items
-
TOPIC MODELLING FOR OBJECT-BASED CLASSIFICATION OF VHR SATELLITE IMAGES BASED ON MULTISCALE SEGMENTATIONS
by: L. Shen, et al.
Published: (2016-06-01) -
Convolutional Neural Networks With Class-Driven Loss for Multiscale VHR Remote Sensing Image Classification
by: Cheng Shi, et al.
Published: (2020-01-01) -
Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images
by: Jicheng Wang, et al.
Published: (2019-07-01) -
Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
by: Haikel Alhichri, et al.
Published: (2018-01-01) -
A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification
by: Sicong Liu, et al.
Published: (2021-01-01)