Quality Assessment Techniques for Small Satellite Images

2020 ◽  
pp. 319-325
Author(s):  
V. S. Biju ◽  
K. Balan ◽  
S. Sathiamurthi ◽  
K. S. Mani
Keyword(s):  
Quality Assessment ◽  
Satellite Images ◽  
Small Satellite ◽  
Assessment Techniques

Fiber laser welding of dual-phase galvanized sheet steel (DP590): traditional analysis and new quality assessment techniques

2016 ◽  
Author(s):  
Stephanie Miller ◽  
Erik Pfeif ◽  
Andrei Kazakov ◽  
Esther Baumann ◽  
Marla Dowell
Keyword(s):  
Laser Welding ◽  
Quality Assessment ◽  
Fiber Laser ◽  
Sheet Steel ◽  
Dual Phase ◽  
Fiber Laser Welding ◽  
Assessment Techniques

Pharmacy Considerations Related to Radiolabeled Monoclonal Antibodies

1989 ◽  
Vol 2 (3) ◽  
pp. 177-184 ◽  
Author(s):  
George H. Hinkle ◽  
Robert W. Beightol ◽  
Ned Gregorio ◽  
Steven R. Lefevre
Keyword(s):  
Monoclonal Antibodies ◽  
Quality Assessment ◽  
Tumor Cells ◽  
Cell Cultures ◽  
Antibody Production ◽  
Selection Criteria ◽  
Radioimmunoguided Surgery ◽  
Assessment Techniques

Current modalities used for the detection and treatment of cancer suffer from the lack of specificity for tumor cells. Radiolabeled monoclonal antibodies have been, and continue to be, actively investigated for use in this regard. Various radionuclides, cell cultures, and radiolabeling processes have been examined, aimed at producing a product with sufficient immunoreactivity to enhance the use of these agents in various radioimmunodetection, radioimmunotherapy and radioimmunoguided surgery capacities. Antibody production, radiolabeling and radionuclide selection criteria, and quality assessment techniques for radiolabeled monoclonal antibodies are reviewed.

scholarly journals NO-REFERENCE IMAGE QUALITY ASSESSMENT FOR ZY3 IMAGERY IN URBAN AREAS USING STATISTICAL MODEL

2016 ◽  
Vol XLI-B3 ◽  
pp. 949-954 ◽  
Author(s):  
Y. Zhang ◽  
W.H. Cui ◽  
F. Yang ◽  
Z.C. Wu
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Urban Areas ◽  
Satellite Images ◽  
Image Quality Assessment ◽  
Reference Image ◽  
Atmospheric Conditions ◽  
Natural Scene Statistics ◽  
The Impact

More and more high-spatial resolution satellite images are produced with the improvement of satellite technology. However, the quality of images is not always satisfactory for application. Due to the impact of complicated atmospheric conditions and complex radiation transmission process in imaging process the images often suffer deterioration. In order to assess the quality of remote sensing images over urban areas, we proposed a general purpose image quality assessment methods based on feature extraction and machine learning. We use two types of features in multi scales. One is from the shape of histogram the other is from the natural scene statistics based on Generalized Gaussian distribution (GGD). A 20-D feature vector for each scale is extracted and is assumed to capture the RS image quality degradation characteristics. We use SVM to learn to predict image quality scores from these features. In order to do the evaluation, we construct a median scale dataset for training and testing with subjects taking part in to give the human opinions of degraded images. We use ZY3 satellite images over Wuhan area (a city in China) to conduct experiments. Experimental results show the correlation of the predicted scores and the subjective perceptions.

Water Quality Assessment Models for Dokan Lake Using Landsat 8 OLI Satellite Images

2016 ◽  
Vol 19 (3&4) ◽  
pp. 25-42 ◽  
Author(s):  
Hasti Shwan Abdullah Abdullah ◽  
◽  
Mahmoud S. Mahdi Mahdi ◽  
Hekmat M. Ibrahim Ibrahim ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Satellite Images ◽  
Water Quality Assessment ◽  
Landsat 8 ◽  
Landsat 8 Oli
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