Histogram equalization (HE) is a simple and effective image enhancing technique, however, it tends to change the mean brightness of middle level permitted range, hence not very suitable for consumer electronic products, where preserving original essential avoid annoying artifacts. This paper proposes novel extension histogram equalization, actually specification, overcome such drawback as HE. To maximize entropy idea HE make flat possible. Following that, essence proposed algorithm, named...

With more detailed spatial information being represented in very-high-resolution (VHR) remote sensing images, stringent requirements are imposed on accurate image classification. Due to the diverse land-objects with intraclass variation and interclass similarity, efficient fine classification of VHR images especially complex scenes is challenging. Even for some popular deep learning (DL) frameworks, geometric details land-object may be lost feature levels, so it difficult maintain...

We present an experimental demonstration of edge detection based on ghost imaging (GI) in the gradient domain. Through modification a random light field, GI (GGI) can directly give object without needing original image. As edges real objects are usually sparser than objects, signal-to-noise ratio (SNR) result will be dramatically enhanced, especially for large-area, high-transmittance objects. In this study, we experimentally perform one- and two-dimensional with double-slit GGI. The use GGI...

Abstract The origin of the detached dust layers observed by Mars Climate Sounder aboard Reconnaissance Orbiter is still debated. Spiga et al. (2013, https://doi.org/10.1002/jgre.20046 ) revealed that deep mesoscale convective “rocket storms” are likely to play an important role in forming these layers. To investigate how generated this phenomenon and subsequently evolve at larger scales, a parameterization rocket storms represent convection designed included into Laboratoire de Météorologie...

The identification of optimal landing sites is a critical first step for successful missions to the Moon and other extraterrestrial bodies, necessitating integration various environmental factors over large spatial scales. At lunar south pole, site selection must balance engineering safety with areas high scientific interest, requiring extensive analysis potential locations. Although intelligent algorithms have been increasingly investigated this purpose, application deep learning techniques...

As the accuracy of satellite laser altimetry is susceptible to real-time atmospheric conditions, with-in footprint topography fluctuation, and detector noise, etc., we proposed a method by comprehensively analyzing ranging error evaluation labels extract high-accuracy elevation control points that suitable for imagery based topographic mapping applications. Using ICESat data, global high dataset including more than 60 million points, on model waveform quality analysis paper. For land areas,...

Abstract The Yutu‐2 rover onboard China's Chang’E‐4 was the first to land in Von Kármán crater on lunar farside, where structural and dielectric properties may provide previously unknown clues formation evolution. Based Lunar Penetrating Radar (LPR) with 500 MHz rover, we proposed a band‐limited impedance (BLIMP) inversion method generate continuous 2‐D profiles help of constants retrieved from point reflectors (e.g., buried rocks), which low‐frequency information that be lost or distorted...

Solid waste detection is of great significance for environmental protection. In recent years, object methods based on deep learning have progressed rapidly. However, it often extremely difficult to collect sufficient data train a model with good performance. this study, augmentation strategy was introduced generate synthetic high-quality images solid detection. First, modified pix2pix proposed, in which local-global discriminator (LGD) designed improve the detailed and global information...

To give users more control over image segmentation and extraction, we propose the progressive-cut algorithm, which explicitly models user's intention in a graph-cut framework. Because incorporate three aspects of user into an object cutout system, our algorithm lets work with fewer strokes, achieving faster accurate visual feedback.

Crater detection from planetary images is a challenging issue due to the complicated variations in geometry shape, illumination, and scale. An automatic crater algorithm (CDA) that robust these factors is, therefore, necessary. In this article, novel CDA proposed detect multiscale craters of Moon. The method consists two main steps: 1) hypothesis generation (HG) step, feature operator called path-profile, which constructed based on self-defined adjacency graph path descriptor, presented...

The positioning accuracy of synthetic aperture radar (SAR) images is affected by factors, such as satellite platform instability, aging on-board instruments, and environmental changes. Geometric calibration a commonly employed cost-effective method to enhance the SAR images. classical point-based geometric (PB-GC) model, however, only utilizes location ground control points (GCPs) does not fully exploit spatial relationships among GCPs. This study introduces high-precision that builds upon...

Abstract Advances in science and technology have increased the demand for greater temperature measurement accuracy. Radiation thermometry is a mature that applicable to various industrial fields. In special environments (e.g. high ambient temperature), background radiation reflected by target surface superimposed with from itself, which affects measured temperature. this study, different methods were evaluated. The errors of single-spectral, colorimetric, multispectral measurements targets...

Linear frequency modulation (LFM) waveform is widely used in modern tracking radars and missile seekers for high resolution. In this paper, a blanket jamming method countering LFM radar proposed based on pseudo-random code phase modulation. Utilizing the structure of digital radio memory (DRFM), we impose onto intercepted signal retransmit it to victim radar. The characteristics are analyzed detail then model presented. Theoretical analyses simulation results show that by flexible adjusting...

Repeater jamming has become an important type for countering coherent radar since it is proposed. In this paper, a noise method based on interrupted-sampling and pseudo-random sequence phase-modulation proposed against de-chirping radar. The characteristic of signal analyzed in detail the processing procedure introduced. After De-chirping, multiple dense false-targets are formed to protect true target. Compared with non-coherent jamming, much correlation capable obtaining gain. At last, some...

Rapid detection of solid waste with remote sensing images is great significance for environmental protection. In recent years, deep learning-based object methods have been widely studied. contrast to regular objects such as airplanes or buildings, wastes commonly h ave arbitrary shapes difficult‐to‐distinguish boundaries. this study, a network weighted deformable convolution and global context block based on Feature Pyramid Network (FPN) model was proposed. The designed feature extraction...

LiDAR semantic segmentation plays an important role in 3D scene understanding for autonomous driving. However, the performance based on equipped a vehicle may be limited due to small perception perspective, object occlusion, and sparsity of point clouds distance. To address these challenges, we propose vehicle-infrastructure cooperative (VICSS) framework enhance vehicle-side capability. An infrastructure feature extraction (IFE) module is employed extract features from roadside cloud. A...

The regolith of the Chang'E-4 landing site was disturbed by its engine exhaust. To explore interaction between exhaust and regolith, it necessary to identify exhaust-disturbed region. This article focuses on determining extent region using lunar reconnaissance orbiter camera narrow angle (LROC NAC) images. For this purpose, tools temporal-ratio images, phase-ratio reflectance profiles, isoline graphs are employed. profiles derived from images reveal changes before after landing. Compared...

Abstract Solar irradiance received at the lunar surface is crucial for interpreting brightness temperatures detected by orbiters and understanding thermal, physical, dielectric properties of regolith. We developed a real‐time effect solar (ESI) model that accounts influence relief terrain shading. This was integrated with standard thermal to examine ESI fluctuations their impacts on diurnal physical temperature variations. To assess effects spatial resolution, we selected four locations...

Accurate assessment and analysis of Synthetic Aperture Radar (SAR) image quality is essential for improving processing application potential. To address the limitations traditional methods that rely solely on point target response energy consider only single-scale polygon targets, we propose an integrated method SAR combines morphology, multi-scale edge features integration land use categories with targets. The results indicate airborne images exhibit high spatial resolution, better than 1.5...

Dynamic voltage and frequency scaling (DVFS) has been the most useful technology to reduce power consumption, but it causes unpredictable program performance decreasing unfair sharing among threads, which may render analysis, optimization, isolation extremely difficult lead thread starvation priority inversion. This paper firstly proposes an OS scheduler based on dynamic time-slice (DTS) address problem incurred by DVFS. The DTS dynamically allocates each with a according threads' behavior...