An advanced change detection method based on object-oriented classification of multi-band remote sensing image

2010 ◽  
Author(s):  
Lifei Wei ◽  
Pingxiang Li ◽  
Liangpei Zhang ◽  
Yanfei Zhong
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Detection Method ◽  
Object Oriented ◽  
Remote Sensing Image ◽  
Multi Band

scholarly journals Change Detection Method of High Resolution Remote Sensing Image Based on D-S Evidence Theory Feature Fusion

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 4673-4687
Author(s):  
Jixiang Zhao ◽  
Shanwei Liu ◽  
Jianhua Wan ◽  
Muhammad Yasir ◽  
Huayu Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Change Detection ◽  
Detection Method ◽  
Feature Fusion ◽  
Evidence Theory ◽  
Remote Sensing Image

Change Detection of Remote Sensing Image Based on Multi-Band KL Transform

2012 ◽  
Vol 500 ◽  
pp. 729-735 ◽  
Author(s):  
Ying Chen ◽  
Xun Jie Zhao ◽  
Qing Wang ◽  
Zhao Hui Yang ◽  
Zhi Jie Wang
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Remote Sensing Image ◽  
Experimental Results ◽  
Detection Accuracy ◽  
Band Combination ◽  
Suzhou City ◽  
Multi Band

Two TM images of Suzhou City were used to extract the changed area by the multi-band KL transform. The keys of the research are the preprocessing of the images, band combination and the combination of the transformed components. Experimental results show that the method joined the information of two images, made the changed information obvious, improved the detection accuracy and was less affected by the noise.

Object Oriented Information Classification of Remote Sensing Image Based on Segmentation and Merging

2014 ◽  
Vol 568-570 ◽  
pp. 734-739
Author(s):  
Xiao Li Liu
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
Texture Feature ◽  
Object Oriented ◽  
Remote Sensing Image ◽  
Maximum Likelihood Classification ◽  
Information Classification ◽  
Remote Sensing Image Classification ◽  
Other Information

The spectral characteristic to classify the remote sensing image classification methods based on pixels of tradition, and the object oriented classification method besides the spectral information, texture feature, also includes the spatial structure of images and other information, so the classification accuracy is very high. In this paper, the remote sensing image based on object oriented classification, puts forward the classification of remote sensing image segmentation based on multiple information combination. Experiments show that, this method can overcome the pixel maximum likelihood classification based on frequent pepper phenomenon of tradition, greatly improves the classification accuracy and reliability. and has better visual effect.

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