Effective band selection of hyperspectral image by an attention mechanism-based convolutional network

Zheng, Zengwei; Liu, Yi; He, Mengzhu; Chen, Dan; Sun, Lin; Zhu, Fengle

doi:10.1039/d1ra07662k

Cited by 17 publications

(12 citation statements)

References 31 publications

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Section: Experiments and Resultsmentioning

confidence: 99%

“…It can be seen that in the process of game training, the training performance of model in ref [ 17 ] in the initial stage is obviously better than that of this model. However, with the increase of training stage, the training effect of this method gradually reaches the level of reference [ 17 ], and even in the later stage, it far exceeds the learning performance of ref [ 17 ]. The asynchronous actor-critic algorithm with dual AM has better game learning performance than other algorithms, which proves that dual AM can help the model process the game state information more accurately so that the agent can make the best decision faster and more effectively.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…Zheng Z et al introduced AM to improve the sequence-to-sequence architecture of neural machine translation [ 17 ]. After that, it began to be widely used to improve the architectures of various cyclic neural networks and convolutional neural networks [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

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[Retracted] Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

2022

Journal of Environmental and Public Health

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The main goals of a music appreciation course are to develop college students’ emotions, improve their musical abilities, and strengthen their conceptual framework. This essay primarily introduces the fundamental elements and instructional approach of a music appreciation course built on core literacy. In order to clarify the need for and orientation of basic literacy in college music appreciation teaching, as well as to understand the special value of the subject, we conducted research on the relationship between basic literacy and college music appreciation teaching. Based on this, a new detection algorithm that fuses feature fusion and AM (attention mechanism) is proposed, and visual AM is added to the algorithm based on AM features to help the agent learn the best course of action quickly. The findings indicate that this method’s cumulative normalized discount gain increases by about 0.07 and that the recommended list’s overall quality has significantly improved. The hit ranking is decreased by about 0.05 when compared to the collaborative neural network filtering method without AM.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Experiments and Resultsmentioning

confidence: 99%

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[Retracted] Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

2022

Journal of Environmental and Public Health

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“…In addition, once an athlete is injured, he or she cannot normally participate in the training and competition in a short period of time, and his or her psychology will also be affected. The double injury of physical and psychological will seriously affect the performance of the competition [2].…”

Section: Introductionmentioning

confidence: 99%

A Training Method for a Sensor-Based Exercise Rehabilitation Robot

et al. 2022

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In order to solve the problem that the traditional mirror therapy did not take into account the real-time recovery of the affected limb and the training effect was limited, a training method of sports rehabilitation robot based on sensor was proposed. A mirror active rehabilitation training system was proposed, which was composed of four steps including trajectory acquisition of the limb inertial measurement unit (IMU), fuzzy adaptive proportion differentiation (PD) control in closed-loop variable domain, muscle force estimation of the surface electromyographic signal (sEMG) of the affected limb, and power compensation of the outer ring of the affected limb. The experimental results showed that the sagittal forward flexion angle of the healthy shoulder increased from 0° to 128° at a relatively uniform speed, and the sagittal forward flexion angle of the shoulder was basically consistent with that of the healthy limb after the adaptive power compensation of the affected limb. The calculated trajectory tracking error of the healthy limb controlled by the fuzzy adaptive PD controller in the variable domain was 0.21 ± 1.35 ° . The horizontal backward extension angle of the healthy shoulder joint increased from 0° to 43°, and the following trajectory of the affected limb was roughly consistent with the movement trajectory of the healthy limb. The calculated tracking error of the healthy limb trajectory was 0.39 ± 1.45 ° . It was concluded that the control system could provide the real-time power compensation according to the recovery of the affected limb, give full play to the training initiative of the affected limb, and make the affected limb achieve a better rehabilitation training effect.

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“…In addition, it shows better robustness to the uncertainty of parameters in the system. The literature [11] proposes a trainable network framework based on attention mechanism. The framework combines model training, feature extraction and band selection.…”

Section: Introductionmentioning

confidence: 99%

Filtering and Enhancement Method of Ancient Architectural Decoration Image based on Neural Network

Wang¹

2022

IJACSA

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Due to poor ambient light or uneven lighting, the old decoration image acquisition methods are easy to cause the image blur. To solve this problem, this paper proposes a neural network-based filtering enhancement method for ancient architectural decoration images, which preserves image details by enhancing contrast, smoothing noise reduction and edge sharpening. Based on the convolutional neural network which is composed of encoder, decoder and layer hop connection, the residual network and hole convolution are introduced, and the hole U-Net neural network is constructed to fuse the pixel feature blocks of different levels. This method enhanced the image contrast according to the gray level and frequency histogram, and aiming at the gray value of the pixel to be processed in the image. And the middle value of the gray value of the neighborhood pixel is used to filter the noise of the ancient building decoration image. The paper also analyzes the joint strength of beams and columns in ancient buildings, and calculates the elastic constants of beams and columns and the stress at the joint of them, considering the image texture characteristics of the wood in ancient buildings with the mortise and tenon connection of beams and columns. Experimental results show that the proposed method has good noise suppression performance, can effectively obtain image detail features, and significantly improve the subjective visual effect of ancient architectural decoration images.

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Effective band selection of hyperspectral image by an attention mechanism-based convolutional network

Abstract: An attention mechanism-based 3D-CNN network was proposed to select the effective bands of hyperspectral images while carrying out the model training.

Cited by 17 publications

References 31 publications

[Retracted] Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

[Retracted] Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

A Training Method for a Sensor-Based Exercise Rehabilitation Robot

Filtering and Enhancement Method of Ancient Architectural Decoration Image based on Neural Network

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