Liang "Application of the spatialspectral CG-FFT method for the solution of electromagnetic scattering by buriedflat metallic objects", IEEE Geosci. RemoteSens. Lett. , vol. 4, no. 1, pp.37 -40 2007Application of the spatial-spectral CG-FFT method ...
Land cover change detection (LCCD) with remote-sensed images plays an important role in observing Earth’s surface changes. In recent years, the use of a spatial-spectral channel attention mechanism in information processing has gained interest. In this
harmonic analysis; spatial–spectral fusion; hyperspectral image; GF-5; ZY1-02D 1. Introduction Advances in remote sensing technology are helpful in the timely acquisition of remote sensing data, especially for hyperspectral images, such as Hyperion, HJ-1A, Gaofen-5 (GF-5), and ZY1-02D. ...
A hyperspectral image (HSI) has a very high spectral resolution, which can reflect the target’s material properties well. However, the limited spatial resolution poses a constraint on its applicability. In recent years, some hyperspectral pansharpening studies have attempted to integrate HSI with PAN...
It consists of a detail spatial feature extractor (DFE) with CNN blocks and a base spectral feature extractor (BFE) utilizing the channel attention mechanism (CAM) with a discrete cosine transform (DCT). Firstly, the DFE can extract detailed context information using a series of layers of a ...
The study aimed to address this need by combining spectral and spatial information to better detect and distinguish the herbicide-induced damage on soybean plants. 4.2. Machine Learning Classification Result of Mean Spectrum of the Whole Leaf 4.2.1. High-Dosage Herbicide Treatment Classification This ...
transformer fusion; spectral–spatial joint; hyperspectral object tracking 1. Introduction Object tracking is one of the most important research fields in computer vision [1] and has been widely developed in the past decade and successfully employed in many applications [2], such as video ...
Achieving a satisfactory signal-to-noise ratio (SNR) often requires a larger instantaneous field of view (IFOV), which can result in a lower spatial resolution. There is an inherent trade-off between spatial and spectral resolution in image capturing. As the spectral resolution increases, the ...
Finally, to demonstrate the superiority of fusing multi-feature and multi-information for change detection, different object-level spectral–spatial feature combination methods were compared in the third experiment, including: spectral feature alone, spectral and texture fusion, spectral and structure ...
marine oil spill detection; spatial–spectral fusion; deep learning; airborne hyperspectral image; spaceborne hyperspectral image Graphical Abstract 1. Introduction Marine oil spills are unforeseen events that arise from accidents or operational errors during the processes of petroleum exploration, development...