Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)

We present detection performance of ten change detection algorithms with and without the use of Extended Multi-Attribute Profiles (EMAPs). Heterogeneous image pairs (also known as multimodal image pairs), which are acquired by different imagers, are used as the pre-event and post-event images in the investigations. The objective of this work is to examine if the use of EMAP, which generates synthetic bands, can improve the detection performances of these change detection algorithms. Extensive experiments using five heterogeneous image pairs and ten change detection algorithms were carried out. It was observed that in 34 out of 50 cases, change detection performance was improved with EMAP. A consistent detection performance boost in all five datasets was observed with EMAP for Homogeneous Pixel Transformation (HPT), Chronochrome (CC), and Covariance Equalization (CE) change detection algorithms.

[1]  Chiman Kwan,et al.  A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images , 2019, IEEE Geoscience and Remote Sensing Letters.

[2]  Gang Li,et al.  Change Detection in Heterogenous Remote Sensing Images via Homogeneous Pixel Transformation , 2018, IEEE Transactions on Image Processing.

[3]  Jon Atli Benediktsson,et al.  Morphological Attribute Profiles for the Analysis of Very High Resolution Images , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Jon Atli Benediktsson,et al.  Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation , 2014, IEEE Geoscience and Remote Sensing Letters.

[5]  Chiman Kwan,et al.  Change Detection Using Original and Fused Landsat and Worldview Images , 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[6]  Kazhong Deng,et al.  A novel approach based on structural information for change detection in SAR images , 2018 .

[7]  Jon Atli Benediktsson,et al.  Spectral unmixing of multispectral satellite images with dimensionality expansion using morphological profiles , 2012, Optics & Photonics - Optical Engineering + Applications.

[8]  Max Mignotte,et al.  An Energy-Based Model Encoding Nonlocal Pairwise Pixel Interactions for Multisensor Change Detection , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Chiman Kwan,et al.  A New Approach to Change Detection Using Heterogeneous Images , 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[10]  Yuzhong Shen,et al.  Change detection using Landsat and Worldview images , 2019, Defense + Commercial Sensing.

[11]  Qian Du,et al.  Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[12]  Alan P. Schaum,et al.  Hyperspectral change detection and supervised matched filtering based on covariance equalization , 2004, SPIE Defense + Commercial Sensing.

[13]  David W. Messinger,et al.  Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV , 2019 .

[14]  Badrinath Roysam,et al.  Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.

[15]  Chiman Kwan,et al.  A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[16]  James Theiler,et al.  Multi-sensor anomalous change detection at scale , 2019, Defense + Commercial Sensing.

[17]  Yuzhong Shen,et al.  Combining Satellite Images with Feature Indices for Improved Change Detection , 2018, 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[18]  Francesca Bovolo,et al.  The Time Variable in Data Fusion: A Change Detection Perspective , 2015, IEEE Geoscience and Remote Sensing Magazine.

[19]  Lorenzo Bruzzone,et al.  Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images , 2006, IEEE Geoscience and Remote Sensing Letters.

[20]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[21]  Chiman Kwan,et al.  New Results in Change Detection Using Optical and Multispectral Images , 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[22]  Maoguo Gong,et al.  Coupled Dictionary Learning for Change Detection From Multisource Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Maoguo Gong,et al.  Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images , 2018, IEEE Geoscience and Remote Sensing Letters.

[24]  Francesca Bovolo,et al.  Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[25]  Redha Touati,et al.  Change Detection in Heterogeneous Remote Sensing Images Based on an Imaging Modality-Invariant MDS Representation , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

[26]  Chiman Kwan,et al.  Deep Learning with Synthetic Hyperspectral Images for Improved Soil Detection in Multispectral Imagery , 2018, 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[27]  James Theiler,et al.  Proposed Framework for Anomalous Change Detection , 2006 .

[28]  Michael Ying Yang,et al.  Change Detection between Multimodal Remote Sensing Data Using Siamese CNN , 2018, ArXiv.

[29]  Chiman Kwan,et al.  A new nonlinear change detection approach based on band ratioing , 2018, Defense + Security.

[30]  Lorenzo Bruzzone,et al.  Extended profiles with morphological attribute filters for the analysis of hyperspectral data , 2010 .

[31]  Yongjun Zhang,et al.  End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++ , 2019, Remote. Sens..

[32]  Chiman Kwan,et al.  High performance change detection in hyperspectral images using multiple references , 2018, Defense + Security.