A cloud removal approach based on information cloning is introduced. The removes cloud-contaminated portions of a satellite image and then reconstructs the missing data utilizing temporal correlation multitemporal images. basic idea to clone from cloud-free patches their corresponding under assumption that land covers change insignificantly over short period time. patch-based reconstruction mathematically formulated as Poisson equation solved using global optimization process. Thus, proposed...

Cloud covers, which are generally present in optical remote sensing images, limit the usage of acquired images and increase difficulty data analysis. Thus, information reconstruction cloud-contaminated plays an important role image This paper proposes a novel method to reconstruct multitemporal images. Based on concept utilizing temporal correlation we propose patch-based algorithm that spatiotemporally segments sequence into clusters containing several spatially connected components called...

Abstract Amid its massive increase in energy demand, Southeast Asia has pledged to use of renewable by up 23% 2025. Geospatial technology approaches that integrate statistical data, spatial models, earth observation satellite and climate modeling can be used conduct strategic analyses for understanding the potential efficiency development. This study aims create first model kind develop multi-renewable from solar, wind, hydropower, further broken down into residential agricultural areas. The...

Image retargeting is the process of adapting images to fit displays with various aspect ratios and sizes. Most studies on image focus shape preservation, but they do not fully consider preservation structure lines, which are sensitive human visual system. In this paper, a patch-based scheme an extended significance measurement introduced preserve shapes both visually salient objects lines while minimizing distortions. proposed scheme, similarity transformation constraint used force content...

In this paper, we present a very high-capacity and low-distortion 3D steganography scheme. Our approach is based on novel multilayered embedding scheme to hide secret messages in the vertices of polygon models. Experimental results show that cover model distortion small as number hiding layers ranges from 7 13 layers. To best our knowledge, can provide much higher capacity than other state-of-the-art approaches, while obeying low security basic requirements for

A word cloud is a visual representation of collection text documents that uses various font sizes, colors, and spaces to arrange depict significant words. The majority previous studies on time-varying clouds focuses layout optimization temporal trend visualization. However, they do not fully consider the spatial shapes motions clouds, which are important factors for attracting people's attention also cues human systems in capturing information from data. This paper presents novel method...

The retrieval of chlorophyll-a (Chl-a) concentrations relies on empirical or analytical analyses, which generally experience difficulties from the diversity inland waters in statistical analyses and complexity radiative transfer equations respectively. Previous studies proposed utilization artificial neural networks (ANNs) to alleviate these problems. However, ANNs do not consider problem insufficient situ samples during model training, they fully utilize spatial spectral information remote...

The rapid growth of motion capture data increases the importance retrieval. majority existing retrieval approaches are based on a labor-intensive step in which user browses and selects desired query clip from large database. In this work, novel sketching interface for defining is presented. This simple approach allows users to define required by several strokes over drawn character, requires less effort extends users' expressiveness. To support real-time interface, specialized encoding...

This paper addresses the topic of content-aware stereoscopic image retargeting. The key to this is consistently adapting a fit displays with various aspect ratios and sizes while preserving visually salient content. Most methods focus on disparities shapes objects through nonlinear warping, in which distortions caused by warping are propagated homogenous low-significance regions. However, disregarding consistency object deformation sometimes results apparent both objects. An object-coherence...

An increasing number of three-dimensional (3D) building models are being made available on Web-based model-sharing platforms. Motivated by the concept data reuse, an encoding approach is proposed for 3D model retrieval using point clouds acquired airborne light detection and ranging (LiDAR) systems. To encode LiDAR with sparse, noisy, incomplete sampling, we introduce a novel scheme based set low-frequency spherical harmonic basis functions. These functions provide compact representation...

Airborne laser scanning (ALS) point clouds have emerged as a predominant data source for the generation of digital elevation models (DEM) in recent years. Traditionally, DEM using ALS involves steps cloud classification or ground filtering to extract points and labor-intensive post-processing correct misclassified points. The current deep learning techniques leverage ability geometric recognition classification. However, classifiers are generally trained 3D with simple terrains, which...

We introduce a template fitting method for 3D surface meshes. A given mesh is deformed to closely approximate the input geometry. The connectivity of model automatically adjusted facilitate geometric and ascertain high quality elements. process utilizes specially tailored Laplacian processing framework, where in first, coarse stage we geometry with linearized biharmonic (a variant LS-mesh), then fine detail fitted further using iterative editing reliable correspondence constraints local...

A novel content-aware warping approach is introduced for video retargeting. The key to this technique adapting videos fit displays with various aspect ratios and sizes while preserving both visually salient content temporal coherence. Most previous studies solve spatiotemporal problem by consistently resizing in frames. This strategy significantly improves the retargeting results, but does not fully consider object preservation, sometimes causing apparent distortions on objects. We propose...

A feature-guided image interpolation scheme is presented. It an effective and improved, shape-based method used for interpolating slices in medical applications. The proposed integrates feature line-segments to guide the better shape interpolation. An automatic finding these line segments given. can manage translation, rotation scaling situations when have similar shapes. also interpolate intermediate shapes successive do not This experimentally evaluated using artificial real...

Three-dimensional metamorphosis is a powerful technique to produce 3D shape transformation between two or more existing models. In this paper, we propose novel morphing that avoids creating merged embedding contains the faces, edges, and vertices of given embeddings. This dynamically adds removes gradually transform connectivity polyhedrons from source model into target simultaneously creates intermediate shapes. addition, priority control function provides animators with arising dissolving...

Radiometric normalization is a fundamental preprocessing step for the analysis of multitemporal and multisensor satellite images. Some previous radiometric studies addressed elimination spectral differences between bitemporal or cross-sensor images by performing canonical correlation (CCA) its generalization called kernel CCA (KCCA). The KCCA-based methods, which assume that relation at-sensor radiances spatially nonlinear, can successfully extract pseudoinvariant features (PIFs) with...

Three-dimensional animating meshes have been widely used in the computer graphics and video game industries. Reducing mesh complexity is a common way of overcoming rendering limitation or network bandwidth. Thus, we present compact representation for based on novel key-frames extraction simplification approaches. In contrast to general approaches which are driven by geometry metrics, proposed methods deformation analysis preserve both geometric features motion characteristics. These two can...

Escher transmutation is a graphic art that smoothly transforms one tile pattern into another with dual perception. A classic example the artwork called Sky and Water, in which compelling figure-ground arrangement applied to portray of bird sky fish water. The shape progressively deformed dissolves background while gradually reveals fish. This paper introduces system create variety Escher-like transmutations, includes algorithms for initializing arrangement, searching best matched...

The key to content-aware warping and cropping is adapting data fit displays with various aspect ratios while preserving visually salient contents. Most previous studies achieve this objective by insignificant contents near frame boundaries consistently resizing frames through an optimization technique preservation constraints fixed boundary conditions. These strategies significantly improve retargeting quality. However, under conditions may bound/limit the of Moreover, dynamic alignment...