Abstract: Joint classification of hyperspectral imagery with LiDAR and SAR multimodal remote sensing data holds significant value for enhancing feature recognition accuracy. However, it still faces ...
A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
Lin, C.-N. and Yang. T.-H. (2026) Assessing Hualien’s Agrotourism Destination Image and Revisit Intention: A Secondary Analysis Using Importance-Performance Analysis. Open Access Library Journal, 13, ...
The rapid development of text-to-image (TTI) models has made it increasingly difficult to distinguish between AI-generated and authentic photographs. This study explores human perception and detection ...
ABSTRACT: Change-detection analysis highlighted significant declines in sparse forest (−72.88%) and wetlands (−73.49%), alongside a substantial increase in bare land (+55.26%). These trends underscore ...
This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...
Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...
Abstract: In this paper, a new classification method based on contextual data fusion is proposed. The method is suited for land-use classification of remotely sensed images of the same scene captured ...
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