周围比中心像素值大时输出1,反之输出0,形成N-bit decimal number去描述每一个中心像素。 The LBP descriptor is obtained by computing the histogram of the decimal numbers over the image and results in a feature vector with 2 N dimensions. In our implementation, we set N=8, and hence resulting in...
Remote-sensing image scene data contain a large number of scene images with different scales. Traditional scene classification algorithms based on convolutional neural networks are difficult to extra...
NWPU-RESISC45 Dataset, is a publicly available benchmark for REmote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class. EuroSAT (RGB color space images)...
Scene classification and recognition of remote sensing image is an important task for image interpretation.High-resolution remote sensing images have rich spatial texture features and semantic information,and their scene categories are diversified.As a r
13、Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources 14、Remote Sensing Image Scene Classification: Benchmark and State of the Art. Proceedings of the IEEE 15、Deep learning for urban remote sensing 16、Comprehensive survey of deep learning in remote sensing: theories,...
In the existing studies on remote sensing image scene classification, the supervised learning methods which are fine-tuned from pre-trained model require a large amount of labeled training data and parameters, while unsupervised learning methods do not make full use of label information, and the cla...
Multi-deep Features Fusion for High Resolution Remote Sensing Image Scene Classification In view of the small number of categories and the relatively little amount of labeled data, it is challenging to apply the fusion of deep convolution featu... B Yuan,L Han,X Gu,... - 《Neural Computing...
Remote sensing image scene classification has been widely applied and has attracted increasing attention. Recently, convolutional neural networks (CNNs) have achieved remarkable results in scene classification. However, scene images have complex semantic relationships between multi-scale ground objects, and ...
• 与其前身SEN1-2数据集不同,SEN12MS包含的所有图像都是geotiff格式,即它们包括地理定位信息。一方面,这些信息可以用作附加的输入特征(参见Uber的CoordConv解决方案(Liu et al.,2018))。另一方面,它可以用于将SEN12MS数据与外部地理数据配对。 • 通过为每个补丁提供密集的(尽管粗略的)土地覆盖标签,意图将语义分...
Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions remote sensing image scene classificationvision transformersSince last decade, deep learning has made exceptional progress in various fields of artificial... M Kumari,A ...