scholarly journals A Retinex-based Enhancement method for Ocean Remote Sensing Image

2021 ◽  
Vol 290 ◽  
pp. 02004
Author(s):  
Tongyu Li ◽  
Jie Chen ◽  
Pu Cheng ◽  
Lu Yu

In order to effectively monitor important sea areas, one of the key issues is the detection of small dynamic targets such as ships. Besides monitoring the hull itself, the monitoring of small targets can also be achieved by detecting ship wakes, which means the sea image with clear texture feature is required. This paper firstly reviews the multiscale retinex (MSR) method, commonly used to enhance the image contrast. Then, it proposes a novel contrast enhancement algorithm base on the subband-decomposed multiscale retinex (SDMSR) method. Experimental results show that our proposed method can make a remarkable enhancement effect for ocean remote sensing images with clouds and whitecap, etc.

2013 ◽  
Vol 19 (6) ◽  
pp. 1079-1088
Author(s):  
Kuiwei HU ◽  
Liuxiong XU ◽  
Xinjun CHEN ◽  
Guoping ZHU ◽  
Xuefang WANG

2021 ◽  
Vol 17 (1) ◽  
pp. 57-73
Author(s):  
I.Jeena Jacob ◽  
Betty Paulraj ◽  
P. Ebby Darney ◽  
Hoang Viet Long ◽  
Tran Manh Tuan ◽  
...  

Methods to retrieve images involve retrieving images from the database by using features of it. They are colour, shape, and texture. These features are used to find the similarity for the query image with that of images in the database. The images are sorted in the order with this similarity. The article uses intra- and inter-texture chrominance and its intensity. Here inter-chromatic texture feature is extracted by LOCTP (local oppugnant colored texture pattern). Local binary pattern (LBP) gives the intra-texture information. Histogram of oriented gradient (HoG) is used to get the shape information from the satellite images. The performance analysis is land-cover remote sensing database, NWPU-VHR-10 dataset, and satellite optical land cover database gives better results than the previous works.


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