8 papers · 1 filter
FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing foundation models (RSFMs) are commonly evaluated using aggregate metrics, which can hide systematic performance disparities across ecological regions. We introduce F…
AlignJEPA: Predictive Vision-Language Alignment for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing (RS) foundation models provide transferable Earth observation representations across sensors, resolutions, and geographies, yet most remain weakly aligned with natur…
CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval
Md Aminur Hossain, Ayush V. Patel, Nitant Dube +1
Cross-modal remote sensing image retrieval aims to retrieve semantically related scenes across heterogeneous sensing modalities. This remains challenging because paired observation…
HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning
Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh +1
We introduce HQ-JEPA, a hybrid quantum-classical joint-embedding predictive architecture for cross-modal remote sensing representation learning. The proposed framework extends JEPA…
Spatial-Frequency Gated Swin Transformer for Cross-Sensor Remote Sensing Super-Resolution
Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh +2
Remote sensing single-image super-resolution aims to generate high-resolution imagery from low-resolution observations while preserving fine structures such as roads, building boun…
HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Ikshwaku Vanani +1
Semantic segmentation in remote sensing is commonly addressed using classical deep learning architectures such as U-Net, which require a large number of parameters to model complex…
HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Siddhant Gole +2
Remote sensing semantic segmentation requires models that can jointly capture fine spatial details and high-level semantic context across complex scenes. While classical encoder-de…
GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing
Maram Hasan, Md Aminur Hossain, Savitra Roy +6
Effective foundation modeling in remote sensing requires spatially aligned heterogeneous modalities coupled with semantically grounded supervision, yet such resources remain limite…