Incorporating Deep Features into GEOBIA Paradigm for Remote Sensing Imagery Classification: A Patch-Based Approach
The fast and accurate creation of land use/land cover maps from very-high-resolution (VHR) remote sensing imagery is crucial for urban planning and environmental monitoring. Geographic object-based image analysis methods (GEOBIA) provide an effective solution using image objects instead of individua...
Main Authors: | Bo Liu, Shihong Du, Shouji Du, Xiuyuan Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/18/3007 |
Similar Items
-
Context-Enabled Extraction of Large-Scale Urban Functional Zones from Very-High-Resolution Images: A Multiscale Segmentation Approach
by: Shouji Du, et al.
Published: (2019-08-01) -
A GEOBIA Methodology for Fragmented Agricultural Landscapes
by: Angel Garcia-Pedrero, et al.
Published: (2015-01-01) -
Spectral Difference in the Image Domain for Large Neighborhoods, a GEOBIA Pre-Processing Step for High Resolution Imagery
by: Roeland de Kok
Published: (2012-08-01) -
A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification
by: Xianwei Lv, et al.
Published: (2018-12-01) -
Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification
by: Odysseas Vlachopoulos, et al.
Published: (2020-08-01)