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Cloudsandshadowsposesevereproblemsindiscernment of the scene and recognizing confirmation of articles in aerialphotography.Thechangesinillumination, ensuedbythepresence of cloud and the shadow,aresome of the reasons thatlead to ambiguity, while doing picture division leadingtodetectionoftargetedobjects.Conventionalmethodsareefficient in perceiving thick fogs in contrastive establishment, butperform ineffectually in the impression of slim fogs, different cloudsand their shadows. Reference pictures for the data are required inmostcases,andseparatealgorithmsarepursued,toidentifyclouds and shadows in an image, which most likely will not be reachable inall circumstances. Techniques used in this paperto recognize cloud andshadows,obviatingtheneedforreferenceimages,areimageenhancement,analysisofcolorhistogramofinputimages,adoptionofautomaticthresholdingandmathematicalmorphologyontheinputimage.Theproposedalgorithm,wasfoundtobefast,andexperimentedonvariousimagesthatcontainedmultiplewhitecloudclustersofdifferentshapes,thickness and their shadows. The algorithmwas endorsed with anaccuracy of 94.6% and 87.2% for unmistakable evidence of fogs andshadows, separately.