COMBINING HIGH SPATIAL RESOLUTION OPTICAL AND LIDAR DATA FOR OBJECT-BASED IMAGE CLASSIFICATION
In order to classify high spatial resolution images more accurately, in this research, a hierarchical rule-based object-based classification framework was developed based on a high-resolution image with airborne Light Detection and Ranging (LiDAR) data. The eCognition® software is employed t...
Main Authors: | R. Li, T. Zhang, R. Geng, L. Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
|
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/XLII-3/923/2018/isprs-archives-XLII-3-923-2018.pdf |
Similar Items
-
Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data
by: Xiaolong Liu, et al.
Published: (2015-01-01) -
Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data
by: Javier Estornell, et al.
Published: (2011-06-01) -
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA
by: N. El-Ashmawy, et al.
Published: (2012-09-01) -
Object-Based Tree Species Classification Using Airborne Hyperspectral Images and LiDAR Data
by: Yanshuang Wu, et al.
Published: (2019-12-01) -
Urban land-use classification by combining high-resolution optical and long-wave infrared images
by: Xuehua Guan, et al.
Published: (2017-10-01)