ABSTRACT This study presents a novel approach to crop mapping using remotely sensed satellite images. It addresses the significant classification modelling challenges, including (1) requirements for extensive labelled data and (2) complex optimisation problem selection of appropriate temporal windows in absence prior knowledge cultivation calendars. We compare lightweight Dynamic Time Warping (DTW) method with heavily supervised Convolutional Neural Network ‐ Long Short‐Term Memory...

This paper explores the feasibility of using low-resolution infrared (LRIR) image streams for human activity recognition (HAR) with potential application in e-healthcare. Two datasets based on synchronized multichannel LRIR sensors systems are considered a comprehensive study about optimal data acquisition. A novel noise reduction technique is proposed alleviating effects horizontal and vertical periodic 2D spatiotemporal profiles created by vectorizing concatenating frames. main analysis...

Leveraging mid-resolution satellite images such as Landsat 8 for accurate farmland segmentation and land change monitoring is crucial agricultural management, yet hindered by the scarcity of labelled data training supervised deep learning pipelines. The particular focus this study on addressing images. This paper introduces several contributions, including a systematic image augmentation approach that aims to maintain population consistency during model training, thus mitigating performance...

The detection of small surface abnormalities on large complex free-form surfaces represents a significant challenge. Often are less than millimeter square in area but, must be located multiple meters square. To achieve consistent, cost effective and fast inspection, robotic or automated inspection systems highly desirable. challenge with is to create robust accurate system that not adversely affected by environmental variation. Robot-mounted laser line scanner can used acquire measurements,...

Human capability to perform routine tasks declines with age and age-related problems. Remote human activity recognition (HAR) is beneficial for regular monitoring of the elderly population. This paper addresses problem continuous detection daily activities using a mm-wave Doppler radar. In this study, two strategies have been employed: first method uses un-equalized series activities, whereas second utilizes gradient-based strategy equalization activities. The dynamic time warping (DTW)...

Research evidence shows that physical rehabilitation exercises prescribed by medical experts can assist in restoring function, improving life quality, and promoting independence for physically disabled individuals. In response to the absence of immediate expert feedback on performed actions, developing a Human Action Evaluation (HAE) system emerges as valuable automated solution, addressing need accurate assessment guidance during rehabilitation. Previous HAE systems developed have focused...

Background and Aims Vine balance is defined as a relation between vegetative (mass of dormant pruning wood) generative (yield) growth. For grapevine breeding, emphasis usually placed on the evaluation individual seedlings. In this study, we calculated mass wood with assistance an automated image-based method for estimating pixel area wood. The digital images in combination depth map calculation image segmentation new non-invasive tool objective data acquisition. Methods Results proposed was...

Passive radio frequency (RF) sensing and monitoring of human daily activities in elderly care homes is an emerging topic. Micro-Doppler radars are appealing solution considering their non-intrusiveness, deep penetration, high-distance range. Unsupervised activity recognition using Doppler radar data has not received attention, spite its importance case unlabelled or poorly labelled real scenarios. This study proposes two unsupervised feature extraction methods for the purpose...

Visible-near infrared spectroscopy remains a method of increasing interest as fast alternative for the evaluation fruit quality. The success is assumed to be achieved by using large sets samples produce robust calibration models. In this study we used representative an early and late season apple cultivar evaluate model robustness (in terms prediction ability error) on soluble solids content (SSC) acidity prediction, in wavelength range 400-1100 nm.A total 196 middle-early 219 apples (Malus...

We propose to use the two-dimensional Discrete Cosine Transform (DCT) for decomposition of diffuse reflectance images laser illumination on milk products in different wavelengths. Based prior knowledge about characteristics images, initial feature vectors are formed at each wavelength. The low order DCT coefficients used quantify optical properties. In addition, entropy information higher is include interference effects near incident point. discrimination powers features computed and do...

The detection of surface abnormalities on large complex parts represents a significant automation challenge. This is particularly true when surfaces are (multiple square metres) but small (less than one mm square), and the interest not simple flat planes. One possible solution to use robot-mounted laser line scanner, which can acquire fast measurements from geometries. problem with this approach that collected data may vary in quality, makes it difficult achieve accurate reliable inspection....

Satellite image segmentation is an important topic in many domains. This paper introduces a novel semi-supervised method for satellite segmentation. Unlike the semantic strategies, this requires only limited labelled data from small local patches of images. Due to complexity and large number land cover objects images, fixed-size square window used feature extraction 7 different areas. The features are extracted by spectral domain analysis. Then, classification performed based on similarity...

In this paper, we propose an ultra-low-resolution infrared (IR) images based activity recognition method which is suitable for monitoring in elderly care-house and modern smart home. The focus on the analysis of sequences IR frames, including single subject doing daily activities. pixels are considered as independent variables because lacking spatial dependencies between ultra-low resolution image. Therefore, our temporal variation vectorised several results a high dimensional feature space...

A millimetre-wave (mmWave) radar, having synergies with the multi-beam light detection and ranging (LiDAR) cameras, has been considered as a must-have sensor in connected autonomous vehicles (CAV) future intelligent transportation systems (ITS). Besides traditional target functions, mmWave radar is expected to perform more tasks improve road safety, for example recognising targets, especially vulnerable users like pedestrians cyclists. This paper describes simulation study of micro-Doppler...