IEEE

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
IEEE

Robust UAV Classification in Noisy Environments: A Digital Twin-Driven CNN Approach with ROC Analysis

Abstract: This research presents a systematic evaluation of Deep Learning (DL) models for Unmanned Aerial Vehicle (UAV) classification using Range-Doppler Maps (RDMs) under varying noise conditions. A ...
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
IEEE

An Experiment Towards the Detectability of Image Steganography Without Using Classifier

In today's digital world and practice, Image steganography become multidisciplinary field that is applied in Public and Private sectors. Meanwhile, it faces many current challenges towards ...