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...
Three public remote sensing datasets of VHR images to evaluate the proposed CNN-MLP model: UC-Merced, Aerial Image (AID), and NWPU-RESISC45 datasets. The experiment's findings show that the proposed method will contribute to higher classification performance relative to state-of-the-art methods....
图2:SEN12MS数据集不同格式中的类别分布情况。 (a) 训练集划分,(b) 测试集划分。注意,在稠密和多标签测试集中,荒地样本的数量实际上不为零,但相对于其他类别非常少。 表3:Validation of the Scene Labels with Respect to HumanAnnotation(基于人工注释验证场景标签的结果,原文中并未提及此表作何用途) 3. 基...
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention. During the past years, significant efforts have been made to develop various datasets or present a variety of approaches for scene classification from re...
近日,对地观测领域国际重要期刊《Journal of Selected Topics in Applied Earth Observations and Remote Sensing》刊发了我校计算机学院遥感智能解译团队的研究成果——“Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification "。该论文第一作者童伟为计算机学院硕士研究生,通讯作者为陈伟...
there are two main problems in the remote sensing image scene classification method based on CNN: Firstly, CNN relies on a large number of labeled samples. With a growing demand of architectural engineering, more and more complex neural architectures need to be designed manually, which is a time...
In recent years, the remote sensing image (RSI) semantic segmentation attracts increasing research interest due to its wide application. RSIs are difficult to be processed holistically on current GPU cards on account of their large field-of-views (FOVs).
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,...
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)...
This study proposes an end-to-end image description generation model based on word embedding technology to realise the classification and identification of Populus euphratica and Tamarix in complex remote sensing images by providing descriptions in precise and concise natural sentences. First, category amb...