Comprehensive Structure Voting Docked Ship Detection from High-Resolution Optical Satellite Images Based on Combined Multi-Orientation Sparse Representation

2018 ◽  
Author(s):  
Yin Zhuang ◽  
He Chen ◽  
Haotian Zhou ◽  
Liang Chen ◽  
Fukun Bi
Keyword(s):  
High Resolution ◽  
Sparse Representation ◽  
Satellite Images ◽  
Ship Detection ◽  
Optical Satellite Images

scholarly journals H-YOLO: A Single-Shot Ship Detection Approach Based on Region of Interest Preselected Network

2020 ◽  
Vol 12 (24) ◽  
pp. 4192
Author(s):  
Gang Tang ◽  
Shibo Liu ◽  
Iwao Fujino ◽  
Christophe Claramunt ◽  
Yide Wang ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
Recognition Rate ◽  
Region Of Interest ◽  
Google Earth ◽  
Single Shot ◽  
Ship Detection ◽  
Detection Approach ◽  
Optical Satellite Images ◽  
Image Network

Ship detection from high-resolution optical satellite images is still an important task that deserves optimal solutions. This paper introduces a novel high-resolution image network-based approach based on the preselection of a region of interest (RoI). This pre-selected network first identifies and extracts a region of interest from input images. In order to efficiently match ship candidates, the principle of our approach is to distinguish suspected areas from the images based on hue, saturation, value (HSV) differences between ships and the background. The whole approach is the basis of an experiment with a large ship dataset, consisting of Google Earth images and HRSC2016 datasets. The experiment shows that the H-YOLO network, which uses the same weight training from a set of remote sensing images, has a 19.01% higher recognition rate and a 16.19% higher accuracy than applying the you only look once (YOLO) network alone. After image preprocessing, the value of the intersection over union (IoU) is also greatly improved.

Toward a general tropical forest biomass prediction model from very high resolution optical satellite images

2017 ◽  
Vol 200 ◽  
pp. 140-153 ◽  
Author(s):  
P. Ploton ◽  
N. Barbier ◽  
P. Couteron ◽  
C.M. Antin ◽  
N. Ayyappan ◽  
...  
Keyword(s):  
High Resolution ◽  
Prediction Model ◽  
Tropical Forest ◽  
Satellite Images ◽  
Forest Biomass ◽  
Optical Satellite Images ◽  
Very High
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