Muhammad Aslam

Media Technology · with Asad · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Aslam trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lorenzo Bruzzone (in Media Technology)
  2. Francesca Bovolo (in Media Technology)

Papers from Muhammad Aslam's perspective

Ordered by how strongly the researchers Muhammad Aslam trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering (IEEE Geoscience and Remote Sensing Letters)
  2. Automatic analysis of the difference image for unsupervised change detection (IEEE Transactions on Geoscience and Remote Sensing)
  3. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)
  4. A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images (Proceedings of the IEEE)
  5. Change detection from remotely sensed images: From pixel-based to object-based approaches
  6. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
  7. A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure (IEEE Transactions on Geoscience and Remote Sensing)
  8. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (IEEE Geoscience and Remote Sensing Magazine)
  9. Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks (IEEE International Geoscience and Remote Sensing Symposium)
  10. Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images (IEEE Transactions on Geoscience and Remote Sensing)

Their papers