Integration of DV Based Motion Information and High-Resolution Digital Camera Image Information

2004 ◽  
Vol 2004.7 (0) ◽  
pp. 347-348
Author(s):  
Yoshihiko NOMURA ◽  
Ryutaro MATSUDA ◽  
Tokuhiro SUGIURA ◽  
Hirokazu Matsui ◽  
Norihiko KATO
Author(s):  
Zhao Sun ◽  
Yifu Wang ◽  
Lei Pan ◽  
Yunhong Xie ◽  
Bo Zhang ◽  
...  

AbstractPine wilt disease (PWD) is currently one of the main causes of large-scale forest destruction. To control the spread of PWD, it is essential to detect affected pine trees quickly. This study investigated the feasibility of using the object-oriented multi-scale segmentation algorithm to identify trees discolored by PWD. We used an unmanned aerial vehicle (UAV) platform equipped with an RGB digital camera to obtain high spatial resolution images, and multi-scale segmentation was applied to delineate the tree crown, coupling the use of object-oriented classification to classify trees discolored by PWD. Then, the optimal segmentation scale was implemented using the estimation of scale parameter (ESP2) plug-in. The feature space of the segmentation results was optimized, and appropriate features were selected for classification. The results showed that the optimal scale, shape, and compactness values of the tree crown segmentation algorithm were 56, 0.5, and 0.8, respectively. The producer’s accuracy (PA), user’s accuracy (UA), and F1 score were 0.722, 0.605, and 0.658, respectively. There were no significant classification errors in the final classification results, and the low accuracy was attributed to the low number of objects count caused by incorrect segmentation. The multi-scale segmentation and object-oriented classification method could accurately identify trees discolored by PWD with a straightforward and rapid processing. This study provides a technical method for monitoring the occurrence of PWD and identifying the discolored trees of disease using UAV-based high-resolution images.


1994 ◽  
Vol 42 (2) ◽  
pp. 49-51 ◽  
Author(s):  
L.W. MacDonald ◽  
R. Lenz

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3526 ◽  
Author(s):  
Ayhan ◽  
Kwan

In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is examined. The comparative performance analyses showed that the left camera enhancement results in getting more accurate disparity maps in comparison to using the original left Mastcam images for disparity map estimation. The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy. A high-resolution disparity map, which is the result of the left camera image enhancement, is anticipated to improve the conducted science products in the Mastcam imagery such as 3D scene reconstructions, depth maps, and anaglyph images.


1998 ◽  
Vol 120 (07) ◽  
pp. 68-69
Author(s):  
Henry Baumgartner

This article focuses on a high-resolution digital camera that provides fast, flexible imaging for photomicrography and microscopy. Digital images are not only equal in quality to traditional images, but they are also three times faster to acquire, less expensive, easier to distribute, and more useful as reference images for future analysis. In terms of quality, the basic issue is matching images on 4-by-5-inch instant film, and recording the same field size with the same resolution. Reports with embedded digital image links are issued over the LAN so users do not have to seek out images separately on the Technology Center server. The department is also creating a reference library of microstructure images that have been captured digitally. Image Central software from Advanced Imaging Concepts in Princeton, N.J., is to be used to create the database with reference images and associated data.


2008 ◽  
pp. 165-170
Author(s):  
Rastislav Lukac ◽  
Konstantinos N. Plataniotis

2000 ◽  
Vol 53 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Stephen C. Porter

AbstractGrayscale intensity profiles from photographic images offer a rapid means of obtaining paleoclimate proxy records from Chinese loess, dune sand, and paleosols. Although the data can be obtained using conventional 35-mm film images, a digital camera and laptop computer will produce a high-resolution grayscale profile at a field site within minutes. Comparison of grayscale profiles with profiles of magnetic susceptibility measured down loess and dune-sand sections at sites on the Loess Plateau and Tibetan Plateau in a range of altitudes and climatic regimes shows that the two parameters are highly correlated. Therefore, grayscale intensity is a convenient alternative to magnetic susceptibility for generating paleoclimatic data in the loess and desert-margin regions of China. The resolution of both grayscale and susceptibility profiles ultimately is limited by bioturbation, which is most pronounced in paleosols.


2003 ◽  
Author(s):  
Joyce E. Farrell ◽  
Feng Xiao ◽  
Peter B. Catrysse ◽  
Brian A. Wandell

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