{"id":17012,"date":"2025-10-06T09:34:45","date_gmt":"2025-10-06T13:34:45","guid":{"rendered":"https:\/\/blogs.mathworks.com\/pick\/?p=17012"},"modified":"2025-10-06T09:34:45","modified_gmt":"2025-10-06T13:34:45","slug":"hyperspectral-imaging-library-for-image-processing-toolbox","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/pick\/2025\/10\/06\/hyperspectral-imaging-library-for-image-processing-toolbox\/","title":{"rendered":"Hyperspectral Imaging Library for Image Processing Toolbox"},"content":{"rendered":"<div class=\"rtcContent\">\r\n<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\"><a href=\"https:\/\/uk.mathworks.com\/matlabcentral\/profile\/authors\/20789457\">Mike<\/a>'s pick this week is <a href=\"https:\/\/uk.mathworks.com\/matlabcentral\/fileexchange\/76796-hyperspectral-imaging-library-for-image-processing-toolbox\">Hyperspectral Imaging Library for Image Processing Toolbox<\/a> by <a href=\"https:\/\/uk.mathworks.com\/matlabcentral\/profile\/authors\/10006757\">MathWorks Image Processing Team<\/a>.<\/div>\r\n<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\">Hyperspectral imaging measures the spatial and spectral characteristics of an object by imaging it at numerous different wavelengths. The wavelength range extends beyond the visible spectrum and covers the spectrum from ultraviolet (UV) to long wave infrared (LWIR) wavelengths.<\/div>\r\n<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\"><img decoding=\"async\" loading=\"lazy\" class=\"imageNode\" style=\"vertical-align: baseline; width: 611px; height: 326px;\" src=\"https:\/\/blogs.mathworks.com\/pick\/files\/hyperSpectral_1.png\" alt=\"\" width=\"611\" height=\"326\" \/><\/div>\r\n<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\">Building on top of Image Processing Toolbox, Hyperspectral Imaging Library provides a bunch of additional features to allow you to work effectively with hyperspectral images. At almost 10,000 downloads since it was released, it seems pretty popular too.<\/div>\r\n<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\">For an overview of the topic I suggest you start with this page of the documentation: <a href=\"https:\/\/uk.mathworks.com\/help\/images\/get-started-with-hyperspectral-image-processing.html\">Get Started with Hyperspectral Image Processing<\/a>.<\/div>\r\n<\/div>\r\n<script type=\"text\/javascript\">var css = ''; var head = document.head || document.getElementsByTagName('head')[0], style = document.createElement('style'); head.appendChild(style); style.type = 'text\/css'; if (style.styleSheet){ style.styleSheet.cssText = css; } else { style.appendChild(document.createTextNode(css)); }<\/script>","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"https:\/\/blogs.mathworks.com\/pick\/files\/hyperSpectral_1.png\" onError=\"this.style.display ='none';\" \/><\/div><p>\r\nMike's pick this week is Hyperspectral Imaging Library for Image Processing Toolbox by MathWorks Image Processing Team.\r\nHyperspectral imaging measures the spatial and spectral characteristics of... <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/pick\/2025\/10\/06\/hyperspectral-imaging-library-for-image-processing-toolbox\/\">read more >><\/a><\/p>","protected":false},"author":176,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[62,16],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/17012"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/users\/176"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/comments?post=17012"}],"version-history":[{"count":2,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/17012\/revisions"}],"predecessor-version":[{"id":17024,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/posts\/17012\/revisions\/17024"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/media?parent=17012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/categories?post=17012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/pick\/wp-json\/wp\/v2\/tags?post=17012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}