Clouds are a very important factor in the availability of optical remote sensing images. Recently, deep learning-based cloud detection methods have surpassed classical based on rules and physical models clouds. However, most these large which limits their applicability explainability, while other do not make use full spectral information multi-spectral images such as Sentinel-2. In this paper, we propose lightweight network for detection, fusing multi-scale spatial features (CDFM3SF)...

The association rule mining plays an important part in the data mining. Association aims to find rules transaction database with minimum support and confidence which are user given. In order all frequent item sets from efficiently quickly, improved Apriori algorithm of this paper is put forward solve bottleneck problems traditional algorithm. First Boolean matrix array used replace database. Then "AND" operation random access characteristics used. Next carried out on Hadoop Platform....

Cloud detection is an important step in the processing of remote sensing images. Most methods based on convolutional neural networks (CNNs) for cloud require pixel-level labels, which are time-consuming and expensive to annotate. To overcome this challenge, letter proposes a novel semisupervised algorithm by training self-attentive generative adversarial network (SAGAN) extract feature difference between images cloud-free Our main idea introduce visual attention into process generating...

Thin clouds seriously affect the availability of optical remote sensing images, especially in visible bands. Short-wave infrared (SWIR) bands are less influenced by thin clouds, but usually have lower spatial resolution than (Vis) high images (e.g., Sentinel-2A/B, CBERS04, ZY-1 02D and HJ-1B satellites). Most cloud removal methods do not take advantage spectral information available SWIR bands, which affected to restore background tainted Vis In this paper, we propose CR-MSS, a novel deep...

ABSTRACT Building damage assessment in the face of natural disasters is crucial for economic development, disaster relief, and post‐disaster reconstruction. However, existing algorithms often overlook impact class when extracting difference features from high‐resolution pre‐ image pairs obtained through satellite remote sensing, without considering influence type, that is, different ways which affect buildings. To address this limitation, we propose U2DDS‐Net, a two‐stage model based on...

Abstract Person Image Synthesis has been widely used in fashion with extensive application scenarios. The point of this task is how to synthesise person image from a single source under arbitrary poses. Prior methods generate the target pose well; however, they fail preserve fine style details image. To address problem, robust injection (RSI) model proposed, which coarse‐to‐fine framework RSI develops simple and efficient cross‐attention based module fuse features both semantic styles for...

Multispectral remote sensing images are widely used for monitoring the globe. Although thin clouds can affect all optical bands, influences of differ with band wavelength. When processing multispectral bands at different resolutions, many methods only remove in visible/near-infrared or rescale multiresolution to same resolution and then process them together. The former cannot make full use information, latter, rescaling will introduce noise. In this article, a deep-learning-based cloud...

Image denoising methods are often based on the minimization of an appropriately defined energy function. Many gradient dependent functions, such as Potts model and total variation denoising, regard image piecewise constant In these methods, some important information edge sharpness location is well preserved, but detailed feature like texture compromised in process denoising. For this reason, method local adaptive regularization proposed paper, which can adaptively adjust degree noisy by...

于2008和2012年先后2次从西藏阿里和那曲地区61个不同水体,包括不同盐度的湖泊、湿地、浅水坑和河流等,共采集了78个水体表层沉积物样品,用以研究该地区现生介形类的生态分布及其环境指示意义.经鉴定,阿里和那曲地区现生介形类共计11属38种.除Ilyocypris neoaspera等5个种外,本次调查的介形类各属种均在湖泊中出现,尤以Limnocythere dubiosa的总壳瓣数最为丰富.Ilyocypris属中除Ilyocypris subdunshanensis和Ilyocypris xizangensis外,其余各种均喜浅水坑的小型浅水环境.Leucocythere dilitata、Limnocythere dubiosa、Limnocytherellina kunlunensis和Eucypris rischtanica为该地区的广盐种.其中Limnocythere dubiosa和Leucocythere...

Mono-pulse angle measurement technology is being widely used for its simple structure and high accuracy. In this paper, we propose a mono-pulse phase comparison algorithm applied to virtual array transformed equivalently from MIMO radar. Based on the principle of improving accuracy measurement, adopt amplitude weighting optimize that achieve higher compared with actual Simulation results verify validity algorithm.

The eugenics movement emerged in various countries from the late 1800s to 1940s, and Mental Defectives Amendment Bill 1928 was high point history of New Zealand, first last time that highest goal Zealand included provisions bill, sterilization, but sterilization provision ultimately forced withdraw due contradictions parties, resulting ultimate failure 1928. However, eventually withdrawn conflicts between different leading This paper analyzes reasons for 1928, order get a glimpse basic map...

Some countries in the world have different degree of fires every year, it caused serious damage to ecological environment, not only losing huge resources, but wasting a lot manpower and material resources. A new approach forecast fire information is presented this paper, which will provide efficient theoretical support technical guidance.

The unknowability of the inner workings limits magnitude performance improvement ship target detection networks in synthetic aperture radar (SAR) images under Gaussian noise. However, none existing interpretation methods explain phenomenon network changes feature map can visually reflect image delivery network, and some metrics quantitatively characterize degree degradation a noise environment. So this paper, we propose comprehensive analysis method that integrates texture brightness...

Bistatic multiple-input multiple output (MIMO) radar can achieve target localization by estimating the transmit and receive angles. In this paper, an ESPRIT based threedimensional (3-D) algorithm is proposed for bistatic MIMO system with a uniform circular array on linear receive. Transmit azimuth, elevation angles cone angle are estimated using data. The 3-D coordinates of then calculated geometry between targets radar. accuracy independent signal bandwidth as range not required. Also time...

The need for using high-level modeling tools (e.g. BPMN) isincreasing considerably. proliferation of the service oriented architectures (SOA) is also apparent. In this context, there a gap between developed model and its execution. This work introduces MoSC Translator which translates models produced in BPMN into executable WS-BPEL processes.

The overlapping degree of UAV aerial imagery is an important parameter in judging the quality photography. This paper applies technology image feature matching to realize automatic inspection low-altitude overlap. It utilizes point and homography transformation model, which can accurately identify area overcome defect caused by large rotation angle UAV's images irregular overlap area. We use various feature-extracting algorithms verify practicability this method. shows that it calculate...

In this paper, we present a new image dehazing method via fast multi-scale fusion. It is designed based on fusion strategy. Instead of estimating the exact global atmospheric and transmission separately as most previous methods did, our directly constructs initial images with different exposure through histogram analysis L0 gradient minimization adaptive boundary constraint to improve visual effect. Experimental results show that outperforms state-of-the-art haze removal in terms both efficiency