General theory for remote sensing image filtering and edge detection based on orthogonal function integration

1995 ◽  
Author(s):  
Jun Shen ◽  
Wei Shen ◽  
Dan-Fei Shen
Keyword(s):  
Remote Sensing ◽  
General Theory ◽  
Edge Detection ◽  
Image Filtering ◽  
Remote Sensing Image ◽  
Orthogonal Function ◽  
Function Integration

A Fast Algorithm for Road Recognition in Remote Sensing Image

2010 ◽  
Vol 108-111 ◽  
pp. 1344-1347
Author(s):  
Li Li Li ◽  
Yong Xin Liu
Keyword(s):  
Remote Sensing ◽  
Edge Detection ◽  
Fast Algorithm ◽  
Remote Sensing Image ◽  
Extraction Methods ◽  
Feature Integration ◽  
Road Extraction ◽  
Remote Sensing Images ◽  
The Road ◽  
Simulation Results

In general, the road extraction methods in remote sensing images mainly are edge detection, feature integration, and so on. A fast road recognition arithmetic is presented in this paper. First using adaptive binarization arithmetic, the path on remote sensing images is extracted. Then morphological method is used to process image. Finally, the extracted image superimposed with the original and get clear road. Simulation results shows that this algorithm is efficiency, the anti-noise ability is enhance, and more precision.

Fuzzy edge detection of color remote sensing image

2012 ◽  
Author(s):  
Li Gang ◽  
Zhang Xiao-chuan ◽  
Huang Tong-yuan ◽  
Si Lei-lei ◽  
Yan He ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Edge Detection ◽  
Remote Sensing Image

scholarly journals Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Dujin Liu ◽  
Huajun Wang ◽  
Sen Wang ◽  
Guolin Pu ◽  
Xiaoya Deng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Edge Detection ◽  
Artificial Bee Colony ◽  
Color Image ◽  
Image Data ◽  
Remote Sensing Image ◽  
Bee Colony ◽  
Image Edge ◽  
Image Details ◽  
Detection Effect

As the color remote sensing image has the most notable features such as huge amount of data, rich image details, and the containing of too much noise, the edge detection becomes a grave challenge in processing of remote sensing image data. To explore a possible solution to the urgent problem, in this paper, we first introduced the quaternion into the representation of color image. In this way, a color can be represented and analyzed as a single entity. Then a novel artificial bee colony method named improved artificial bee colony which can improve the performance of conventional artificial bee colony was proposed. In this method, in order to balance the exploration and the exploitation, two new search equations were presented to generate candidate solutions in the employed bee phase and the onlookers phase, respectively. Additionally, some more reasonable artificial bee colony parameters were proposed to improve the performance of the artificial bee colony. Then we applied the proposed method to the quaternion vectors to perform the edge detection of color remote sensing image. Experimental results show that our method can get a better edge detection effect than other methods.

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