scholarly journals Collaborative Coupled Hyperspectral Unmixing based Sub-Pixel Change Detection for Analyzing Coastal Wetlands

2021 ◽  
pp. 1-1
Author(s):  
Minghui Chang ◽  
Xiangchao Meng ◽  
Weiwei Sun ◽  
Gang Yang ◽  
Jiangtao Peng
Keyword(s):  
Change Detection ◽  
Coastal Wetlands ◽  
Hyperspectral Unmixing

Integrated change detection and temporal trajectory analysis of coastal wetlands using high spatial resolution Korean Multi-Purpose Satellite series imagery

2017 ◽  
Vol 11 (2) ◽  
pp. 026030 ◽  
Author(s):  
Hoang Hai Nguyen ◽  
Hien Tran ◽  
Wooyeon Sunwoo ◽  
Jong-hyuk Yi ◽  
Dongkyun Kim ◽  
...  
Keyword(s):  
Change Detection ◽  
Spatial Resolution ◽  
Coastal Wetlands ◽  
Trajectory Analysis ◽  
High Spatial Resolution ◽  
Temporal Trajectory

Scale and Remotely Sensed Data for Change Detection in the James Bay, Ontario, Coastal Wetlands

1993 ◽  
Vol 19 (1) ◽  
pp. 045-049 ◽  
Author(s):  
Heather McNairn ◽  
Richard Protz ◽  
Chris Duke
Keyword(s):  
Change Detection ◽  
Coastal Wetlands ◽  
Remotely Sensed ◽  
James Bay ◽  
Remotely Sensed Data

Vivid Imagers Are Better at Detecting Salient Changes

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman
Keyword(s):  
Individual Differences ◽  
Change Detection ◽  
Visual Imagery ◽  
Detection Task ◽  
Level Of Detail ◽  
Detection Accuracy ◽  
Change Detection Task ◽  
Term Change ◽  
High Level

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.

An attentional bias for LEGO® people using a change detection task: Are LEGO® people animate?

2016 ◽  
Vol 70 (3) ◽  
pp. 219-231 ◽  
Author(s):  
Mitchell R. P. LaPointe ◽  
Rachael Cullen ◽  
Bianca Baltaretu ◽  
Melissa Campos ◽  
Natalie Michalski ◽  
...  
Keyword(s):  
Change Detection ◽  
Attentional Bias ◽  
Detection Task ◽  
Change Detection Task

Effects of display frames of reference on spatial judgments and change detection

2000 ◽  
Author(s):  
Lisa C. Thomas ◽  
Christopher D. Wickens
Keyword(s):  
Change Detection ◽  
Frames Of Reference

One Probe, Two Probe, Old Probe, New Probe: Switching Location and Color in a Change-Detection Paradigm

2012 ◽  
Author(s):  
Amanda L. Gilchrist ◽  
Paul Verhaeghen
Keyword(s):  
Change Detection

Recognition processes in a change detection task

2010 ◽  
Author(s):  
Bogdan Kostic ◽  
Anne M. Cleary
Keyword(s):  
Change Detection ◽  
Detection Task ◽  
Change Detection Task
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