Compressive Imaging of Moving Object Based on Linear Array Sensor

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/jece/volume-2016/4560642/figures/4560642.fig.002a.svgz" name="4560642.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original image<svg height="8.79011pt" id="M35" style="vertical-align:-0.04980946pt" version="1.1" viewbox="-0.0498162 -8.7403 13.592 8.79011" width="13.592pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,4.358,0)"><path d="M700 0V35C631 42 609 53 567 118C509 208 460 288 401 381C449 447 492 506 526 546C567 595 594 607 658 615V650H417V615C481 603 484 593 465 557C441 512 406 457 375 417C333 483 302 536 285 568C273 591 271 603 326 615V650H25V615C93 608 120 591 148 544C201 461 242 391 290 312C233 226 163 135 127 90C98 57 63 41 8 35V0H259V35C192 46 183 54 207 97C228 137 269 202 316 273C390 149 413 111 423 93C440 61 445 47 379 35V0H700Z" id="g13-86"></path><glyph.data ascent="1024" descent="-360" horiz-adv-x="693" vert-adv-y="693"></glyph.data></g></svg></td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/jece/volume-2016/4560642/figures/4560642.fig.002b.svgz" name="4560642.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Measurement matrix <svg height="8.76399pt" id="M36" style="vertical-align:-0.04981041pt" version="1.1" viewbox="-0.0498162 -8.71418 10.369 8.76399" width="10.369pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M521 658H271V624C323 619 329 612 329 574C222 568 40 504 40 327S221 92 329 89C329 47 323 39 266 34V0H521V34C464 39 458 47 458 89C566 92 747 155 747 334C747 512 565 569 458 574C458 613 464 619 521 624V658ZM329 126C264 137 176 189 176 335C176 479 270 527 329 536V126ZM458 536C521 527 611 477 611 332C611 178 520 137 458 126V536Z" id="g5-150"></path><glyph.data ascent="3481" descent="-2878" horiz-adv-x="787" vert-adv-y="787"></glyph.data></g></svg></td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/jece/volume-2016/4560642/figures/4560642.fig.002c.svgz" name="4560642.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Compressive sampling for static object</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/jece/volume-2016/4560642/figures/4560642.fig.002d.svgz" name="4560642.fig.002d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Compressive sampling for moving object</td></tr></table>

<div>Compressive sampling of static and moving states.</div>

Journal of Electrical and Computer Engineering

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Figure 2

Figure 2: Compressive Imaging of Moving Object Based on Linear Array Sensor 