PPT-Mineral interpretation results using deep learning with hyperspectral imagery

Andrés Bell Navas Carlos Roberto del Blanco Adán Fernando Jaureguizar Núñez Narciso García Santos María José Jurado Rodrígue z Grupo de Tratamiento de Imágenes GTI Universidad . Hyperspectral Imaging. AUTO3160 – Optics. Staffan Järn. Introduction. Measurement of object properties on the earth’s surface using data acuired from aircraft and satellites. Passive remote sensing. The other half of the same coin?. 1. 2. Cognitive Specific Imagery. Generally mirrors the modeling results – imagery is better than nothing, not as good as physical practice. Imagery therefore could also be seen as enhancing the idea, but would also require physical practice for calibration. v1.0. Laura Biggins. Interpretation. Library. Contamination. Biological. Interpretation. Technical. Tracking. Interpreting results. QC and visualisation still important. Easy to draw wrong conclusions from the data . Spatial. Spatial. Hyperspectral Sensing . – Imaging Spectroscopy. What is Hyperspectral Sensing?. Z = Spectral Bands. X. Y. Data Cube. – a way to visualize the data. Multispectral. Hyperspectral. Continuous. Scoring in Practical Applications. Tuesday 6/28/2016. By Greg Makowski. Greg@Ligadata.com. www.Linkedin.com/in/GregMakowski. Community @. . http. ://. Kamanja.org. . . Try out. Future . Sarah Dean. Lecture Overview. Types of Samples. Types of Stains. Interpretation of results. Clinical . vs. Research. How do we ensure those results are valid?. Use of controls. UK NEQAS scheme. Types of analyses/statistical tests. Kexin Pei. 1. , Yinzhi Cao. 2. , Junfeng Yang. 1. , Suman Jana. 1. 1. Columbia University, . 2. Lehigh University. 1. Deep learning (DL) has matched human performance!. Image recognition, speech recognition, machine translation, intrusion detection.... Dr. . Olivér . Reichart. Dr. . Katalin . Szakmár. Introduction. . MicroTester. as a validated method is suitable for rapid microbiological testing of mineral water, carbonated water, tank and running drinking water and other types of water. The time needed for a reliable detection of microorganisms is of key importance: in water industry the real-time (or at least as fast as possible) monitoring of the microbiological properties of the production is indispensable; in public water supply the essential basis of the epidemiological and public health measures is the fast and reliable result of the microbiological inspection. Beside the most important and most widely inspected microbiological contaminants the most relevant disturbing flora was involved to the validation process as well.. Co-Chairs: . . Part I - Kevin . Turpie. (UMBC GSFC), Cecile Rousseaux (USRA NASA). . Part II - Maria . Tzortiou. (CUNY), Emmanuel Boss (. Univ. of Maine). . Part III - Michelle . Gierach. (NASA JPL), Sherry Palacios (BAERI ARC). Garima Lalwani Karan Ganju Unnat Jain. Today’s takeaways. Bonus RL recap. Functional Approximation. Deep Q Network. Double Deep Q Network. Dueling Networks. Recurrent DQN. Solving “Doom”. Ranger. O. utline . Mineral potential assessment . Methods of assessment (mineral potential, prospectivity, and favourability maps) . Mineral-systems approach . definition, advantages and disadvantages. Imagery is . language that appeals to the senses. Most of the time, we think of “image” as a visual experience (using our eyes). IMAGERY can appeal to our sense of sight, smell, hearing, taste and touch. Our estimates of pressures and temperatures experienced by rocks during metamorphism are based on metamorphic reactions.. Mineral Reactions. There are two basic types of mineral reactions:. Continuous. Geological models – “Mineral Systems”. after Kelley et al., 2006 . Supergene : regolith processes. Hypogene : source, pathway, depositional site, outflow. Contrasting physicochemical conditions.