Radar Remote Sensing Images Segmentation Using Fractal Dimension Field

2006 ◽  
Author(s):  
V.K. Ivanov ◽  
R.E. Paschenko ◽  
O.M. Stadnyk ◽  
S.ye. Yatsevich
Keyword(s):  
Remote Sensing ◽  
Fractal Dimension ◽  
Remote Sensing Images ◽  
Radar Remote Sensing

Study on Optimal Segmenting Scale of Grassland in Remote Sensing Objects

2010 ◽  
Vol 171-172 ◽  
pp. 240-245
Author(s):  
Wei Cui ◽  
Qing Qing Li
Keyword(s):  
Remote Sensing ◽  
Fractal Dimension ◽  
New Method ◽  
Remote Sensing Images ◽  
Maximum Area ◽  
Remote Sensing Classification ◽  
Local Variance ◽  
Internal Connections

Determining optimal segmenting scale of remote sensing objects is very important for remote sensing classification and identification. At present, selecting the optimal scales for objects in remote sensing images usually uses two methods, that is, average local variance and maximum area. Due to influences of subjective factors and difficult to implement, this paper proposes a new method based on fractal dimension to solve this problem. This experiment probes certain internal connections between fractal dimension on different scale and optimal segmenting scale of remote sensing objects. It offers a new method for seeking efficient ways to determine optimal scales of different objects in remote sensing images

Site-specific land clutter modelling based on radar remote sensing images and digital terrain data

2010 ◽  
Author(s):  
Andriy Kurekin ◽  
Lik-Kwan Shark ◽  
Kenneth Lever ◽  
Darren Radford ◽  
Dave Marshall
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Images ◽  
Site Specific ◽  
Radar Remote Sensing ◽  
Digital Terrain

OPTIMAL OPERATION POINT IN 3D DCT- BASED LOSSY COMPRESSION OF COLOR AND MULTICHANNEL REMOTE SENSING IMAGES

2015 ◽  
Vol 74 (20) ◽  
pp. 1803-1821 ◽  
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
R.A. Kozhemiakin ◽  
Benoit Vozel ◽  
B. Djurovic ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lossy Compression ◽  
Optimal Operation ◽  
Remote Sensing Images
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