… First, the spectrum occupancy status in CRAHNs is spatially heterogeneous. Second, …
the true sensing results. To handle both these challenges, inspired by image segmentation in …

… the development of image segmentation approaches in the … image segmentation methods
in the RS field are reviewed and compared with the proposed algorithms. Image segmentation…

… assumptions about the spectrum under analysis and the adopted spectrum sensing method.
… Next, we propose a spectrum sensing method based on phase-field image segmentation as …

… In this paper, we propose domain-adaptive transfer attack (DATA)-based segmentation … of
the segmentation model. From test results with two different datasets (ie, the Inria aerial image …

… The above image model bears some resemblance to the … spectrum is the linear combination
of endmember spectrum … mixing model is the measured spectrum of each pixel location. …

… segmentation model incorporating shape and spectrum prior … training shapes, and the prior
spectrum is put forward with the … Then, the shape prior and spectrum prior energy functional …

… –Shah segmentation method [21], initially proposed in the image processing community for
… Next, we propose a spectrum sensing method based on phase-field image segmentation as …

… sensing plays a vital role in providing enhancement of more detailed analysis of crop
segmentation… is carried out using the satellite image from Sentinel 2 remote sensing satellite via k-…

… This relationship is visually represented in Figure 1, where we illustrate an RSI and provide
a frequency image. In Figure 1c, we showcase the low-frequency component, while Figure 1…

… based on the pixel segmentation. Firstly, we segment image by spectrum attribute (R, G, B, …
by the shape of segmentation, we extract shape and spectrum features for water extraction. …