Understanding the impact of land use change on ecosystem service values (ESV) will provide a valuable reference for formulation and implementation ecological restoration programs (ERPs) policies. The Guizhou Province is typical karst region with fragile in southwest China. During past decades, multiple ERPs, especially Grain Green Program (GFGP), have been implemented this region, which has resulted dramatic change. However, how ESV responded to remains unclear. Moreover, few studies...

From analysis of the in-plane resistivity ρ(ab)(T) La(2-x)Sr(x)CuO(4), we show that normal state transport in overdoped cuprates can be delineated into two regimes which electrical varies approximately linearly with temperature. In low-temperature limit, T-linear extends over a very wide doping range, marked contrast to expectations from conventional quantum critical scenarios. The coefficient this scales superconducting transition temperature T(c), implying interaction causing anomalous...

Abstract Feature matching plays a crucial role in computer vision, with applications visual localization, simultaneous localization and mapping (SLAM), image stitching, more. It establishes correspondences between sets of feature points from multiple images, enabling various tasks. Over the years, has witnessed significant development, an increasing number methods being applied. However, different exhibit degrees applicability scenarios requirements due to their rationales. To cope these...

Abstract High‐frequency monitoring of reservoir inundation and water storage changes is crucial for functionality assessment hydrological model calibration. Although the integration optical data with synthetic aperture radar (SAR) backscattering coefficients (backscatters) offers an effective approach, conventional methods struggle to consistently provide accurate retrievals over diverse regions seasons. In this study, we introduce reservoir‐ monthly‐specific classification models enhance...

Potatoes and tomatoes are important Solanaceae crops that require effective disease monitoring for optimal agricultural production. Traditional methods rely on manual visual inspection, which is inefficient prone to subjective bias. The application of deep learning in image recognition has led object detection models such as YOLO (You Only Look Once), have shown high efficiency identification. However, complex climatic conditions real environments challenge model robustness, current...

Abstract Ship detection is a crucial task for waterway surveillance and channel optimization, especially in close proximity to the shore. However, detecting ship visible image‐based remains challenge due limited nature of image datasets. To address this issue, Inland Ships Data Set (ISDS) constructed facilitate research on identification. On other hand, most methods struggle accurately identify ships that are small size. Therefore, model proposed employs multi‐scale weighted feature fusion...

Under the combined effect of climate variations and anthropogenic activities, forest ecosystem in Yangtze River Basin (YRB) has experienced dramatic changes recent decades. Quantifying their relative contributions can provide a valuable reference for management ecological sustainability. In this study, we selected net primary productivity (NPP) as an indicator to investigate variations. Meanwhile, established eight scenarios based on slope coefficients potential NPP (PNPP) actual (ANPP),...

This paper presents an obstacle detection system which is robust to non-flat road surface and interference of illumination. A 3D camera used generate depth information without the need calibration. The map then transformed into U-V-disparity domain, where obstacles ground are projected as lines. Hough Transform employed extract line features; it has been modified fit characteristic in order boost speed accuracy. In addition, steerable filters applied u-v histogram before for noise reduction....

Abstract Drug‐target interaction (DTI) prediction is essential for new drug design and development. Constructing heterogeneous network based on diverse information about drugs, proteins diseases provides opportunities DTI prediction. However, the inherent complexity, high dimensionality noise of such a prevent us from taking full advantage these characteristics. This article proposes novel method, NGCN, to predict drug‐target interactions an integrated network, which extract relevant...

Abstract With the popularity of handheld devices, video stabilization is becoming increasingly important. In previous studies, many methods have been proposed to stabilize shaky videos. However, these fail balance between image content integrity and stability. Some sacrifice for better Other ignore subtle jitters, which leads poor This work innovatively proposes a method based on decomposed motion compensation. First, grid‐based statistics adopted estimation, obtains more accurate vectors...

Deep video compression has attracted more and attention in recent years. Previous works rely on feature space operations, which may cause the offset maps overflow degrading reconstructed frame quality. In this work, we propose a flow- guided module to guide learning explicitly alleviate overflow. Moreover, introduce context scheme explore temporal prior fuse hyper model improve ratio. For coding speed, drop time-consuming auto regressive module. Experimental results demonstrate that our...

Abstract. Spatial information of Huashan experimental watershed, such as a DEM and land-use types, is extracted from ZY-3 images studied for digital watershed construction hydrological simulation. A high-accuracy the stereoscopic image. Water body fused by method supervised classification with object-oriented techniques. Land-use types are decision tree based on mono-temporal image multiple-temporal multispectral images. The multivariate statistical analysis CART algorithm. which meets...

With the adoption of cutting-edge communication technologies such as 5G/6G systems and extensive development devices, crowdsensing in Internet Things (IoT) are now conducting complicated video analysis tasks behaviour recognition. These applications have dramatically increased diversity IoT systems. Specifically, recognition videos usually requires a combinatorial spatial information about objects their dynamic actions temporal dimension. Behaviour may even rely more on modelling containing...

This paper presents a video stabilization algorithm based on block motion estimation. The proposed digital (DVS) system is composed of estimation unit and correction unit. Motion matching to estimate global parameters the correcting needed compensate for jitter finally warp image output stabilized sequence. experiments show performance reliability this algorithm.