"image observation" is a correct and usable phrase in written English.
It is used to describe the act of examining an image or pictures in order to gain additional insights or draw conclusions. For example, "The analyst conducted image observation of the data to determine the most common customer preferences."
Blind image deconvolution (BID) refers to the process of estimating both the original image and the blur from the degraded noisy image observation by using partial information about the imaging system.
Unlike her first polar book, "The Magnetic North" has "a figure at the center" of every image, observation and story.
Based on the SEM image observation, such mechanical enhancements can be attributed to the synergetic effect of micro-scale CF and nano-scale GN in the PEN matrix (decreased matrix-rich and free-volume regions and enhanced interfacial interactions).
The temperature measurement along the axial position and image observation of the catalyst packed-bed indicated that the flame was stably held at the interface of the PM and the catalyst bed, and this enhanced fuel conversion and reforming efficiencies, especially in the low methane conversion condition.
Within image observation period, scattering point ⑨ on the spin axis could always be seen, while the rest eight ones could be seen within half cycle close to radar.
By using the learned mapping from the silhouette manifold to the pose manifold, particle sampling is informed by the current image observation, resulting in improved sample efficiency.
Results indicate iLBA is 2 10 times faster than incremental BA, depending on number of image observations per frame.
The computational model of the proposed approach is based on a dynamic Markov network, a generative model which characterizes the dynamics, the image observations of each individual limb, as well as the spatial coherence among them.
Second, to alleviate the tracker drifting problem caused by model update, we exploit both the ground truth appearance information of the object labeled in the initial frames and the image observations obtained online.
The tundra geomorphology map (a) was validated with 1000 reference sites (700 and 300 in the Arctic Peaty Lowlands and Arctic Sandy Lowlands, respectively) using 249 SPOT-5 ortho-tiles (b), while the NDVI trend map (c) was developed using between 40 to 110 image observations per 30 m pixel (d).
These results are also consistent with the HRTEM image observations.
