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However, SURE shrink method needs some adaptation to perform in the presence of multiplicative noise.
Even this unique method needs some form of adjustment or modification before applying it to a specific case.
However, for SA-ISAR, especially when it comes to the unevenly under-sampling cases, the method needs some modification.
The second type of shadow detection method, model-based method, needs some prior knowledge about the scene, such as sun altitude [12], sun angle [13], or NDVI index [14].
But the labelling method needs some discussion.
The method needs some assumptions about the probability distribution of ISIs before and after presentation of a stimulus (normally the gamma distribution).
Similar(54)
These methods need some parameters such as scanning velocity, soil dielectric, soil conductivity, etc.
Most of these methods need some special instruments, harsh conditions, and relatively high processing temperature higher than 350°C.
Another general problem of the area is the fact that most methods need some sort of pre-processed data such as POS tags, parse trees, dependency parse trees and others.
Wrapper methods need some sort of criterion that relies solely on the characteristics of the data as described by [ 5, 12].
Another advantage of this approach is that this method needs not wait until some physiological process (e.g., perspiration or several heartbeats) takes place.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com