Road traffic elements are important components of roads and the main structuring basic geographic information databases. However, following problems still exist in detection recognition road elements: dense elements, poor effect multi-scale objects, small objects being easily affected by occlusion factors. Therefore, an adaptive spatial feature fusion (ASFF) YOLOv5 network (ASFF-YOLOv5) was proposed for automatic multiple multiscale elements. First, K-means++ algorithm used to make...

The different imaging conditions of high spatial resolution remote sensing images (HSRRSIs) tend to cause large differences in the background information bridges from images, including problems difficult detection multiscale bridges, leakage small and insufficient accuracy for their detection. To address these problems, a YOLOv5 network with decoupled head automatic HSRRIs is proposed this paper. First, problem inconsistent scale fusion each feature pyramid solved using weighted...

Exploring the trend of long time-series ecological quality evolution and spatial differentiation influencing factors in Guiyang is great significance for realizing regional protection high-quality development strategies. Based on 7-period Landsat remote sensing images from 1991 to 2020, index （RSEI） 2020 was calculated using GEE big data platform, a geodetector, Hurst index, coefficient variation with different random sampling quantities classification strategies were used analyze...

Deep learning techniques have become the mainstream approach for fine-grained crop classification in unmanned aerial vehicle (UAV) remote sensing imagery. However, a significant challenge lies long-tailed distribution of samples. This imbalance causes neural networks to focus disproportionately on majority class features during training, leading biased decision boundaries and weakening model performance. We designed minority sample enhanced sampling (MES) method with goal addressing...

This study analyzed the changes in landscape patterns and ecological health status of karst plateau wetlands, providing valuable insights into their conservation. Using land cover data from 1996 to 2021, DEM, Landsat series satellite imagery, this employed ecology methods pressure–state–response (PSR) model framework. A regional grid was constructed, 13 indicators were selected establish an evaluation system for wetlands. allowed us explore spatiotemporal change characteristics pattern The...

Abstract The solar eclipse effects on the ionosphere are very complex. Except for ionization decay due to decrease of photochemical process, couplings matter and energy between regions above below will introduce much more disturbances. Five ionosondes in Northeast Asia were used record midlatitude ionospheric responses 20 May 2012. latitude dependence lag was studied first. f o F 2 response became slower with increased latitude. at different latitudes same obscuration differed from each...

Abstract Ionospheric responses to sudden stratospheric warming (SSW) are not well understood, particularly in the midlatitudes and under high solar conditions. During 2013 SSW, ionospheric disturbances were observed eight locations on meridional chain from 30.5°N 42.8°N northern China. The midlatitude ionosphere responded strongly SSW despite being flux. F 2 layer maximum electric density increased by more than 80%, peak height was elevated 60 km. Well‐set organized semidiurnal variations...

The mainstream algorithms used for ship classification and detection can be improved based on convolutional neural networks (CNNs). By analyzing the characteristics of images, we found that difficulty in image lies distinguishing ships with similar hull structures but different equipment superstructures. To extract features such as superstructures, this paper introduces transformer architecture self-attention into detection, a CNN Swin model (CNN-Swin model) is proposed detection. main...

Based on the construction of Chinese Meridian Project, two mesosphere, stratosphere, and troposphere (MST) radars were designed located in Beijing Chongyang, Hubei province, China, to investigate atmospheric dynamics troposphere, mesosphere. The official names radio systems are MST radar Wuhan radar. They monostatic with an active phased antenna array consisting 576 Yagi antennas operated by a 53.8-MHz frequency. three-element arranged square grid 96-m side length form aperture 9216 m <sup...

The tobacco in plateau mountains has the characteristics of fragmented planting, uneven growth, and mixed/interplanting crops. It is difficult to extract effective features using an object-oriented image analysis method accurately planting areas. To this end, advantage deep learning self-learning relied on paper. An accurate extraction areas based a semantic segmentation model from unmanned aerial vehicle (UAV) remote sensing images proposed Firstly, dataset established Labelme. Four models...

Dynamic monitoring of cropland using high spatial resolution remote sensing images is a powerful means to protect resources. However, when change detection method based on convolutional neural network employs large number convolution and pooling operations mine the deep features cropland, accumulation irrelevant loss key will lead poor results. To effectively solve this problem, novel (CroplandCDNet) proposed in paper; combines an adaptive receptive field multiscale feature transmission...

In naval and civilian domains, meticulous ship classification detection are paramount. Nevertheless, predominant research has gravitated toward leveraging Convolutional Neural Network (CNN)-centered methodologies, often overlooking the diverse granularity inherent in samples. our pursuit to holistically extract features from images across varying granularities, we present a transformative architecture: Vision Transformer Multi-Grain Feature Vector Pyramid (ViT-MGFV-FPN). This model...

Remote sensing image semantic segmentation methods have become the main approach for extracting cropland information. However, in mountainous regions of southwestern China, croplands exhibit narrow and fragmented shapes, as well complex planting patterns, making it difficult traditional to accurately delineate fine-grained boundaries. To address these challenges, a multiattention Transformer network named MATNet is proposed this paper, extraction at parcel level scenes. built upon fusion CNN...

This paper presents a new automatic change detection method of multitemporal remote sensing images based on 2D-Otsu algorithm improved by Firefly algorithm. The proposed is designed to automatically extract the changing area between two temporal images. First, different were acquired through difference value images; then, threshold segmentation principles are analyzed and optimal figured out using algorithm, where conducted with binary classification obtain category nonchanging category;...

Considering a wireless social network, we investigate cooperative jamming scheme based on the space power synthesis with unknown channel state information (CSI) of eavesdroppers. In particular, provide multiple jammers-based anti-eavesdropping model and formulate it by superposition principle various signals in free space. Based model, analyze superimposed effects jammers different locations fixed area, then present corresponding schemes to minimize synthetic at legitimate receiver but...

Spatiotemporal fusion in remote sensing plays an important role Earth science applications by using information complementarity between different data to improve image performance. However, several problems still exist, such as edge contour blurring and uneven pixels the predicted real ground image, extraction of salient features convolutional neural networks (CNNs). We propose a spatiotemporal method with edge-guided feature attention based on sensing, called STF-EGFA. First, module is used...

The quantitative retrieval of the chlorophyll-a concentration is an important remote sensing method that used to monitor nutritional status water bodies. high spatial resolution Sentinel-2 MSI and its subdivision in red-edge band highlight characteristics chlorophyll-a, which detection tool for assessing quality parameters plateau lakes. In this study, Nine Plateau Lakes Yunnan-Kweichow China were selected as study area. Using transit images situ measured data source, concentrations lakes...

Efficiently and accurately identifying the spatial distribution of tea plantations in subtropical plateau regions southwest China is great significance for ecological environmental protection. However, lands those are fragmented with complex vegetation types. Moreover, there much cloudy rainy weather over areas, making it very difficult to identify using only optical remote sensing data. In order solve these problems, this paper uses Sentinel-1 (S1) Synthetic Aperture Radar (SAR) data...

Road traffic elements comprise an important part of roads and represent the main content involved in construction a basic geographic information database, which is particularly for development information. However, following problems still exist extraction elements: insufficient data, complex scenarios, small targets, incomplete element Therefore, set road multielement remote sensing image datasets obtained by unmanned aerial vehicles (UAVs) produced, improved YOLOv4 network algorithm...