Results 61 to 70 of about 740 (176)
Full-spectrum solar-induced chlorophyll fluorescence (SIF; 650–800 nm) provides a powerful means to characterize vegetation functional status. However, current retrieval methods still exhibit substantial uncertainties due to their reliance on fixed ...
Dianrun Zhao +4 more
doaj +1 more source
针对三江平原水土资源区域特点,选择了 20个指标,建立了水土资源评价指标体系和标准;对脉冲耦合神经网络模型(PCNN模型)进行了改进,提出基于模糊算法的F-PCNN模型,动态阈值等于区域水土资源评价标准的等级范围,省略了不必要的参数,减少了模型的复杂度,并应用于三江平原水土资源评价中.分析结果表明三江平原创业农场水土资源可持续利用评价等级为II级,说明水土资源开发和利用较合理,可持续发展能力较强.应用结果说明F-PCNN模型在三江平原水土资源可持续利用评价中是可行的,既拓展了 PCNN的应用领域 ...
SUAn-yu(苏安玉) +3 more
doaj +1 more source
Image retrieval based on colour and improved NMI texture features
This paper proposes an improved method for extracting NMI features. This method uses Particle Swarm Optimization in advance to optimize the two-dimensional maximum class-to-class variance (2OTSU) in advance.
Anyu Du, Liejun Wang, Jiwei Qin
doaj +1 more source
Considering the complexity and the criticality of the stacker equipment, in order to solve the problem that the stop accuracy of the stacker reduces or even fails to work due to abrasion of the running rail, this paper proposes a cooperative detection ...
Darong Huang +3 more
doaj +1 more source
Recent research has reported the application of image fusion technologies in medical images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection of glioma and the diagnosis of Alzheimer’s disease.
Chenxi Huang +7 more
doaj +1 more source
Multimodal Fusion Hybrid Attention Parallel Deep Learning for Avocado Ripeness Classification
A significant challenge with climacteric fruits is that the ripening process will start after being harvested from the tree. This has led to frequent unintentional misjudgments of ripeness, significantly affecting retailers and consumers worldwide.
Sumitra Nuanmeesri
doaj +1 more source
While accurate forecasting with uncertainty estimation is highly important, Machine Learning (ML) and Deep Learning (DL) models often ignore fundamental physical principles and typically do not provide reliable uncertainty estimates.
Rajaperumal T. A +1 more
doaj +1 more source
Optimization of image restoration technology and AI iterative upgrade based on PCNN
This study aims to enhance the overall balance among image detail restoration, structure preservation, and model adaptability in image restoration tasks.
Bingxuan Zhang, Xuan Chen
doaj +1 more source
针对高压输电线路绝缘子状态检测中光照不均匀、对比度不强的红外绝缘子图像分割,提出了一种基于类内绝对差准则的改进型PCNN图像分割算法。对最小类内绝对差法进行改进,引入背景与目标的面积差因子,确定最佳分割阈值后通过PCNN算法迭代优化进行图像分割。与经典OTSU算法、基于最小类内绝对差准则的PCNN算法进行比较。实验结果表明,本文方法能够取得更好的分割效果,并且具有较强的实用性。
徐雪涛 +3 more
doaj
P-CNN: Percept-CNN for semantic segmentation
The task of image segmentation remains a fundamental challenge, in the field of computer vision. Convolutional Neural Networks (CNNs) have achieved significant success in this field, yet there are some limitations in the conventional approach.
Deepak Hegde, G. N. Balaji
doaj +1 more source

