<div dir="ltr"><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Could you please send the following post to the VISIONLIST list?</p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><br></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">*******************************************************</p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Call for papers</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Special Issue "Machine Learning for Remote Sensing Image/Signal
Processing"</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Remote Sensing (MDPI) Journal</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Submission deadline: 31st December 2021.</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Dear Colleagues,</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Machine learning techniques have been applied in
remote sensing for more than 20 years now. We are, however, experiencing an
explosion of new capabilities and application areas where machine learning in
remote sensing is playing and will continue to play a capital role. In
particular, new sensors with ever increasing capabilities and new computing
hardware and software capabilities are allowing us to tackle problems that were
considerably difficult to approach just a few years ago.</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">This Special Issue is aimed at presenting new
machine learning techniques and new application areas in remote sensing. We
particularly welcome papers focused on, although not limited to, one or more of
the following topics:</p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"></p><ul><li><span style="font-size:11pt">Deep learning techniques for remote sensing</span></li><li><span style="font-size:11pt">Machine learning techniques for inference and
retrieval of bio–geo–physical variables</span></li><li><span style="font-size:11pt">Machine learning for remote sensing data
classification and regression</span></li><li><span style="font-size:11pt">Multi-temporal and multi-sensor data fusion,
assimilation, and processing</span><br></li><li><span style="font-size:11pt">Machine learning platforms for big data and
highly demanding remote sensing applications</span><br></li><li><span style="font-size:11pt">Machine learning for multispectral and
hyperspectral remote sensing platforms and applications</span><br></li><li><span style="font-size:11pt">Machine learning for uncertainty analysis and
assessment in remote sensing</span><br></li><li><span style="font-size:11pt">Machine learning for remote sensing estimation
and characterization of highly variable and dynamic earth processes</span> </li></ul><p></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">We would like this Special Issue to become an
example of the most up-to-date machine learning approaches used to solve some
of the problems considered by the remote sensing community.</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">The website of the Special Issue can be found at:</p>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><a href="https://www.mdpi.com/journal/remotesensing/special_issues/ML_RS_Processing" style="color:rgb(5,99,193)">https://www.mdpi.com/journal/remotesensing/special_issues/ML_RS_Processing</a></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Prof. Dr. Pedro Latorre-Carmona</p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif">Prof. Dr. Antonio J. Plaza</p>
<span style="font-size:11pt;line-height:107%;font-family:Calibri,sans-serif">Guest Editors</span><br></div>