Results 51 to 60 of about 118,760 (177)

Dual-Scale Pixel Aggregation Transformer for Change Detection in Multitemporal Remote Sensing Images

Remote Sensing
Transformers have recently been applied to change detection (CD) of multitemporal remote sensing images because of their ability to model global information.
Kai Zhang, Ziqing Wan, Xue Zhao, Feng Zhang, Ke Liu, Jiande Sun   +5 more
doaj   +1 more source

Multiscale Adaptive Convolution for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Convolutional neural network (CNN) is widely used in hyperspectral image (HSI) classification owing to their advantages of spatial-spectral features capture capability and learning depth features as well as their structural flexibility. Nevertheless, the
Qi Ren, Bing Tu, Qianming Li, Wangquan He, Yishu Peng   +4 more
doaj   +1 more source

FRAME: Faithful Radiologist–Audited Mechanistic Explainability for Ultrasound Imaging

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Ultrasound imaging is widely used for diagnosis and monitoring because it is safe, portable, cost‐effective and suitable for real‐time clinical assessment. However, speckle noise, acoustic shadowing, attenuation, low tissue contrast and operator‐dependent variability remain challenging for automated prediction and spatial localisation.
Dost Muhammad, Nazli Suliman, Shazad Zafar, Malika Bendechache, Pramita Mishra   +4 more
wiley   +1 more source

Trees Outside Forests (TOFs): A Global Review of Methodological Advances, Limitations, and Framework Innovations

International Journal of Forestry Research, Volume 2026, Issue 1, 2026.
Trees outside forests (TOFs) represent an important natural and anthropogenic resource that contributes significantly to biodiversity conservation, climate resilience, and the protection of forest genetic resources (FGRs). Despite their ecological and socioeconomic importance, TOFs are increasingly declining due to land‐use changes, urbanization ...
Aman Dabral, Pawan Kumar Thakur, Maneesh S. Bhandari, Vishal Johar, Vinita Bisht, Shailesh Pandey, Rama Kant, Rajendra K. Meena, Himanshu Saini, Poulami Jha   +9 more
wiley   +1 more source

MS-ASLPEP: An Automated Sample Purification Framework for SAR Land Cover Classification Based on Hierarchical Multiscale Superpixels

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Automated and high-precision land cover classification (LCC) using synthetic aperture radar (SAR) is crucial for environmental monitoring, while its advancement has been constrained by the time-consuming and labor-intensive acquisition of sufficient and ...
Yabo Huang, Yujia Zhao, Lin Wu, JianHui Zhao, Qian Chen, Ning Li   +5 more
doaj   +1 more source

Land Use Classification of High-Resolution Multispectral Satellite Images With Fine-Grained Multiscale Networks and Superpixel Postprocessing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Land use recognition from multispectral satellite images is fundamentally critical for geological applications, but the results are not satisfied.
Yaobin Ma, Xiaohua Deng, Jingbo Wei
doaj   +1 more source

Multiclass Fruit Disease and Maturity Classification Using Hybrid Deep Neural and Transformer Models With Explainable AI Techniques

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
The principal aim of this research work is to develop an efficient and explainable deep learning (DL) framework for the classification of fruit diseases. Timely and accurate detection of diseases in plants is essential in order to reduce the loss of crops and high‐quality yields.
Ranjith Kumar Anandan, Saravanan Srinivasan, A. Prathik, Jitender Tanwar, Sandeep Kumar Mathivanan, Usha Moorthy   +5 more
wiley   +1 more source

Multiscale Color‐R2D2 Features and Alignment‐Based Filtering for Reliable Copy–Move Forgery Detection

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
This study presents a robust and descriptor‐agnostic framework for copy–move forgery detection (CMFD) that combines handcrafted and deep features within a unified geometric refinement stage. The proposed approach integrates a lightweight alignment‐based filtering (ABF) mechanism with multiple descriptors to reduce false positives left unresolved by ...
Yıldız Aydın, Richard Murray
wiley   +1 more source

Shape classification via image-based multiscale description [PDF]

, 2011
We introduce a new multiscale Fourier-based object description in 2-D space using a low-pass Gaussian filter (LPGF) and a high-pass Gaussian filter (HPGF), separately.
Mark S. Nixon, Nixon, Mark, Cem Direkoğlu, Direkoglu, Cem   +3 more
core   +1 more source

A Comprehensive Survey on Concrete Crack Detection

Shock and Vibration, Volume 2026, Issue 1, 2026.
Concrete structures form the backbone of modern civil infrastructures, yet they are inherently susceptible to cracking over time due to mechanical stress, environmental exposure, and aging. Undetected cracks can escalate into catastrophic structural failures, making timely inspection critical.
Md. Siam Ansary, José J. Rangel-Magdaleno   +1 more
wiley   +1 more source